Speakers

  • Stream Processing
  • Event Driven
  • Real Time

Virtual Conference 2020

April 22-24
Conference

About the Speakers

Meet the experts from global companies like Cloudera, Google, Godaddy, Netflix, Splunk and more, who have built scalable streaming infrastructure and enterprise-grade applications.

Hear why and how they use Flink as the stream processing engine of choice for large-scale stateful applications, including real-time analytics, real-time search and content ranking, fraud/anomaly/threat detection.

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Speaker

Keynote Speakers

Marton Balassi

Marton Balassi

Cloudera

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Marton Balassi

Streaming Engineering Lead / Apache Flink PMC at Cloudera

Marton is a Flink PMC member and one of the first contributors to the streaming API. He has driven big data adoption at around 50 customers as a Senior Solutions Architect at Cloudera during the last four years. He is the manager of the newly formed Streaming Analytics team and focuses on adding Flink to the Cloudera platform.

Keynote

Bulletproof the streaming transformation of your organization

stephan-ewen

Stephan Ewen

Ververica

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Stephan Ewen

CTO & Co-founder at Ververica

Stephan Ewen is CTO and co-founder at Ververica where he leads the development of the stream processing platform based on open source Apache Flink. He is also a PMC member and one of the original creators of Apache Flink. Before working on Apache Flink, Stephan worked on in-memory databases, query optimization, and distributed systems. He holds a Ph.D. from the Berlin University of Technology.

Keynote

konstantin-gray

Konstantin Knauf

Ververica

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Konstantin Knauf

Head of Product at Ververica

As Head of Product for Ververica Platform Konstantin is responsible for Ververica's commercial product, an enterprise-ready stream processing platform based on Apache Flink. Previously, he was leading the solutions architecture team and helping our clients as well as the Open Source community to get the most out of Apache Flink and Ververica Platform. Before joining Ververica he worked as a Senior Consultant with TNG Technology Consulting, where he supported their clients mainly in the areas of Distributed Systems and Automation. Konstantin has studied Mathematics and Computer Science at TU Darmstadt specializing in Stochastics and Algorithmics.

Keynote

Eric Sammer

Eric Sammer

Splunk

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Eric Sammer

Distinguished Engineer at Splunk

Eric was an early employee at Cloudera before he founded Rocana which was acquired by Splunk. Today, he is a Distinguished Engineer at Splunk working on platform services including stream processing. He's the author of "Hadoop Operations" and is involved in a number of open source projects.

Keynote

The Evolution of Data Infrastructure at Splunk

srikanth (1)
VP of Engineering

Srikanth Satya

Dell EMC

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Joe Witt

Cloudera

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Joe Witt

VP Engineering at Cloudera

Joe Witt is Vice President of Engineering at Cloudera focused on the Cloudera Data Flow (CDF) product. Joe spent 10 years at NSA most of which developing what became Apache NiFi. In 2015 Joe and a team of cofounders left NSA and started Onyara which was acquired by Hortonworks which later merged with Cloudera. Joe is a member of the project management committee for Apache NiFi.

Keynote

Bulletproof the streaming transformation of your organization

Conference Speakers

Fakrudeen Ali Ahmed

Fakrudeen Ali Ahmed

Adobe

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Fakrudeen Ali Ahmed

Architect, Digital Experience Cloud at Adobe

Fakrudeen is an Architect in Digital Experience Cloud with focus and expertise in Big data and ML technologies. Formerly, he was Senior Manager at Yahoo, managing Yahoo front page content ranking and personalization system.

Use Case

Real time identity graph

Ahmet_Altay

Ahmet Altay

Google

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Ahmet Altay

Software Engineer at Google

Ahmet Altay is a Senior Software Engineer at Google working on Apache Beam (PMC member) and Cloud Dataflow. Previously he worked at Microsoft on operating systems. He has a master's degree from Stanford University.

Technology Deep Dive

Distributed Processing for Machine Learning Production Pipelines

Abhay_Amin

Abhay Amin

Netflix

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Abhay Amin

Senior Software Engineer at Netflix

Abhay Amin is a senior software engineer at Netflix working for Consolidated Logging team. At Netflix, he focuses on building and scaling real time & batch metrics platforms using spark, Flink and Kafka. Prior to Netflix, he has a similar experience of building data products for e-commerce and finance.

Use Case

Building a metric platform using Flink for massive scale at Netflix

Jesse Anderson

Jesse Anderson

Big Data Institute

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Jesse Anderson

Managing Director at Big Data Institute

Jesse Anderson is a Data Engineer, Creative Engineer and Managing Director of Big Data Institute.

He works with companies ranging from startups to Fortune 100 companies on Big Data. This includes training on cutting edge technologies like Apache Kafka, Apache Hadoop and Apache Spark. He has taught over 30,000 people the skills to become data engineers.

He is widely regarded as an expert in the field and for his novel teaching practices. Jesse is published on O’Reilly and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.

Operations

Managing Real-time Data Teams

Austin_Cawley-Edwards-1

Austin Cawley-Edwards

FinTech Studios

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Austin Cawley-Edwards

Senior Software Engineer at FinTech Studios

Austin Cawley-Edwards is a Senior Software Engineer at FinTech Studios, using real-time data to bring clarity to financial news. He frequently works with Apache Flink, RabbitMQ, and Elasticsearch. He also loves API design, taking part in collaborative communities, and sometimes JavaScript.

Operations

Reliable, Real-Time AI with the Ververica Platform + a Kubernetes Operator in a Growing Startup

Samantha_Chan

Samantha Chan

Cogility

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Samantha Chan

Data Scientist at Cogility

Samantha is a data scientist, working on the Cogynt team in Cogility Software. She helps the team develop rich data science features on Cogynt to ensure customers can meet their data needs swiftly and with ease. Prior to working at Cogility, she worked on building a machine learning and analytics platform for a surgical simulation system at a medical device company in California.

Use Case

Cogynt: Flink without code

Tirtha_Chatterjee

Tirtha Chatterjee

Amazon Web Services

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Tirtha Chatterjee

Software Developer at Amazon Web Services

Tirtha Chatterjee is a software developer at the Amazon Managed Streaming for Kafka team. He worked on building the cluster health monitoring system on Apache Flink that monitors the health of Apache Kafka clusters that his team supports.

Tirtha has years of experience on working across the software stack - from core storage and streaming systems to front-end website development. He is a genuine open source enthusiast and has contributed to multiple open source projects such as Pidgin, KDE, Rekonq, Lokalize and Apache Kafka.

Use Case

Needle in the Haystack - Monitoring health of a huge Kafka fleet with Flink

Zili Chen

Zili Chen

Tencent

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Zili Chen

Software Developer at Tencent

Zili Chen is contributing for Apache Flink for over a year and now one of Flink committers. He focuses on consistency in distributed system and flexibility of user-facing interface.

Technology Deep Dive

Implement Reliable, Isolated & Unified Job Submission

Naveen Cherukuri

Naveen Cherukuri

Uber

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Naveen Cherukuri

Engineering Manager at Uber

I have been working on large scale distributed systems for the past 8+ years. Currently, I manage the Stream Processing Platform(Athena) team built on Apache Flink that is responsible for 2000+ real time pipelines at Uber.

Ecosystem

Powering OLAP at Uber using Apache Flink

Robert Crowe

Robert Crowe

Google

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Robert Crowe

TensorFlow Developer Advocate at Google

A data scientist and TensorFlow addict, Robert has a passion for helping developers quickly learn what they need to be productive. He's used TensorFlow since the very early days and is excited about how it's evolving quickly to become even better than it already is. Before moving to data science Robert led software engineering teams for both large and small companies, always focusing on clean, elegant solutions to well-defined needs. In his spare time Robert sails, surfs occasionally, and raises a family.

Technology Deep Dive

Distributed Processing for Machine Learning Production Pipelines

Griselda_Cuevas

Griselda Cuevas

Google

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Griselda Cuevas

Product Manager, V.P. of D&I at the ASF at Google

Gris is an experienced tech strategist who's worked with distributed communities for over 8 years. She has a Masters in Operation Research and Data Science from UC Berkeley and is passionate about big data analytics, open source projects, information architecture, diversity and inclusion in tech & Italian wines.

She’s an industrial engineer by formation, and therefore has scaled products and organizations for over 10 years. From her work on oil rigs to online communities, she’s proven to be able to adapt to diverse industries and environments. She also enjoys solving undefined problems and to spearhead solutions no one has designed before.

Community

Equality and inclusion as a way of developing diverse, resilient, and more relevant OSS

Justin_Cunningham

Justin Cunningham

Netflix

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Justin Cunningham

Director, Data Platform Architecture at Netflix

Justin Cunningham is the Director of Data Platform Architecture at Netflix focused primarily on data movement, schemas, and supporting the Netflix Studio. Previously, Justin was a Group Tech Lead at Yelp, leading efforts centered around experimentation and metrics, real-time data infrastructure, and machine learning. Before Yelp, Justin worked at several small startups that he founded.

Ecosystem

Netflix Data Mesh: Composable Data Processing

Gyula_Fora-1

Gyula Fora

Cloudera

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Gyula Fora

Flink Engineer at Cloudera

Gyula is a Software Engineer in the Flink Engineering team at Cloudera working on integrating Flink into the Cloudera platform.

He has been a committer and contributor since the early days of Flink streaming and has used Flink in large scale production at King for almost 4 years delivering innovative real-time applications at a global scale.

Gyula grew up in Budapest where he first started working on distributed stream processing and later became a core contributor to the Apache Flink project. Gyula has been a speaker at numerous big data related conferences and meetups, talking about stream processing technologies and use-cases.

Technology Deep Dive

Testing production streaming applications

Timothy_Farkas

Timothy Farkas

Netflix

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Timothy Farkas

Senior Software Engineer at Netflix

I have degrees in Electrical Engineering and Mathematics from CMU. My expertise is in distributed data processing engines. In open source, I have worked on Apache Apex and Apache Drill.

Operations

Autoscaling Flink at Netflix

Praveen_Gattu

Praveen Gattu

Amazon Web Services

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Praveen Gattu

Engineering Head for Amazon Kinesis Data Analytics service at Amazon Web Services

Praveen Gattu heads engineering team for Amazon Kinesis Data Analytics service. Praveen has worked in Amazon Webservices for past 12 years in Kinesis and S3.

Operations

Lessons learned on Apache Flink application availability in a hosted Apache Flink service

Kenny Gorman

Kenny Gorman

Eventador.io

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Kenny Gorman

Co-Founder and CEO at Eventador.io

Kenny has decades of experience with various database platforms behind some of the busiest companies in the world. He has had roles as Architect, Director, Manager, Developer, and DBA.

He was a key member of the early teams that scaled Paypal and then eBay on Oracle. He ran one of the busiest PostgreSQL installations in the world at Hi5 and was an early adopter of MongoDB using it for various large projects at Shutterfly.

He is an active member in the PostgreSQL community and scaled Hi5 from just a few servers to dozens running multi-terabye workloads on SSD and SAN backends. He has contributed to the early versions of pg_reorg, and wrote the pgstat2 utility as well as other tools and performance techniques. He’s been blogging about databases including PostgreSQL for years.

He has been an active MongoDB community member, speaker, MongoDB evangelist, and now Mongo Master. In 2011 he formed the MongoDB as a Service provider ObjectRocket with colleagues from eBaY. ObjectRocket was acquired by Rackspace in 2012.

He is active in the Apache Kafka and Apache Flink communities - speaking at conferences and participating in community events. SQLStreambuilder, Eventador’s flagship product is built using Apache Flink.

Currently, Kenny is a Founder at Eventador.io, a streaming data platform. He is focused on building innovative data services to power the next generation of applications that must aggregate, mutate, filter, and join data in real time.

Ecosystem

Writing an interactive streaming SQL and materialized view engine using Flink

Kailash HD

Kailash Hassan Dayanand

Lyft

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Kailash Hassan Dayanand

Software Engineer at Lyft

Kailash has over 5 years of experience building data infrastructure, search infrastructure and computer vision systems. During his time at Lyft, Kailash has worked in teams which manage kafka cluster, build flink jobs to persist data to S3 and manage platform for real-time distribution of messages / events. In his erstwhile life, he worked as an investment banker advising corporates on IPO / M&A strategies.

Use Case

Large-scale near-real-time (NRT) data analytics platform empowered by Apache Flink

Teng_Niel_Hu

Teng (Niel) Hu

Uber

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Teng (Niel) Hu

Software Engineer at Uber

Teng(Niel) Hu is a software engineer at Uber, previously worked on dynamic pricing for 2 years, now works in Uber AI Lab as a research engineer.

Use Case

Geospatial Situation Detection through FlinkCEP @Uber

Fabian-Hueske

Fabian Hueske

Ververica

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Fabian Hueske

Software Engineer, Apache Flink PMC Member at Ververica

Fabian Hueske is a committer and PMC member of Apache Flink. He is one of the three original authors of the Stratosphere research system, from which Apache Flink was forked in 2014. Fabian is a co-founder of data Artisans (now Ververica), a Berlin-based startup devoted to fostering Flink, where he works as a software engineer and contributes to Apache Flink. He holds a PhD in computer science from TU Berlin and is a co-author of "Stream Processing with Apache Flink".

Ecosystem

Flink SQL in 2020: Time to show off!

Ankit_Jhalaria

Ankit Jhalaria

Godaddy

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Ankit Jhalaria

Principal Software Engineer at Godaddy

Ever since I was a kid, I was very passionate about computers. When I was in grade IV, I joined a hardware institute in India to build my own PC. Back then, I would use that hand-built PC with a 486 processor to play games like Dave.
My hardware guru introduced me to my first programming language "Visual Basic". I build a very basic application for my dad that would help him keep track of inventory at his tire shop.
After pursing my masters in computer science at USC and interning at CallFire - A VOIP company and Mindjolt - A gaming company, I started working at Yahoo as a Software Engineer in the Ads and Data Platform team. I learned a lot about building applications at scale and got introduced to Hadoop and the magic of Map Reduce at Yahoo about a decade ago. After 5 years at Yahoo, I joined a 30 person startup called AtScale to help build a BI platform that can make it easy for customer to query terabytes of data really fast. For the last couple of years, I have been with Godaddy and we are building our streaming data platform using beam and flink to make data available to our downstream customers in a low latency fashion. I am an Apache Beam contributor and love spending time with my son and wife.

Use Case

Building Stateful Streaming Pipelines

Hrishikesh Joshi

Hrishikesh Joshi

Lyft

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Hrishikesh Joshi

Software Engineer at Lyft

Lead backend engineer at Lyft since March 2019. Prior to Lyft, worked at eBay leading some of core engineering teams in Buyer Experience and Structured Data.

Use Case

Structured logging at Scale

Flavio_Paiva_Junqueira

Flavio Paiva Junqueira

Pravega by Dell EMC

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Flavio Paiva Junqueira

Senior Distinguished Engineer at Pravega by Dell EMC

Flavio Junqueira is a Senior Distinguished Engineer at Dell. He holds a PhD in computer science from the University of California, San Diego, and he is interested in various aspects of distributed systems, including distributed algorithms, concurrency, and scalability. His recent work at Dell focuses on stream analytics, and specifically, on the development of a novel storage system for streams called Pravega. Before Dell, Flavio held an engineering position with Confluent and research positions with Yahoo! Research and Microsoft Research. Flavio has co-authored a number of scientific publications (over 4,000 citations according to Google Scholar) and an O’Reilly ZooKeeper book on Apache ZooKeeper. Flavio is an Apache Member and has contributed to projects hosted by the ASF, including Apache ZooKeeper (as PMC and committer), Apache BookKeeper (as PMC and committer), and Apache Kafka.

Ecosystem

Everything is connected: How watermarking, scaling, and exactly once impact one another in Pravega

Tom_Kaitchuck

Tom Kaitchuck

Pravega by Dell EMC

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Tom Kaitchuck

Distinguished Engineer at Pravega by Dell EMC

Tom Kaitchuck is among the original group of developers of the Pravega project and is currently a core contributor employed by Dell. He holds a BS Degree from Valparaiso University. Tom an ardent open source software developer previously held senior software developer positions with Google and Amazon. Tom’s interests include Distributed systems, Asynchronous communication, Concurrency, Scaling systems, Consistency models.

Ecosystem

Everything is connected: How watermarking, scaling, and exactly once impact one another in Pravega

Xue_Kang

Xue Kang

DiDi

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Xue Kang

Staff Engineer at DiDi

Xue Kang is a team lead of real-time computing team at DiDi, providing stable, efficient real-time computing service with low cost. He has a master degree from Zhejiang University, and has has rich experience on batch and steam processing technology.

Use Case

Flink's application at Didi

Scott_Kidder

Scott Kidder

Mux

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Scott Kidder

Staff Software Engineer at Mux

I've been building video encoding & delivery platforms for over 12 years (MobiTV, Brightcove/Zencoder, and now Mux). I'm currently a Staff Software Engineer working on the Mux Data service which provides realtime and historical analytics for Internet video playback. I’ve built high-volume stream-processing applications for Mux Data and Mux Video (our full-service video encoding and distribution service) that have served some of the most widely watched video streams on the Internet. Interests include Kafka, Flink, Kubernetes, and Go.

Operations

Tuning Flink Filesystem Plugins for State Persistence

Hwanju_Kim

Hwanju Kim

Amazon Web Services

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Hwanju Kim

Software Development Engineer @AWS Kinesis at Amazon Web Services

I am software development engineer at AWS Kinesis and working mainly on managed service for Flink.

Operations

Lessons learned on Apache Flink application availability in a hosted Apache Flink service

konstantin-gray

Konstantin Knauf

Ververica

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Konstantin Knauf

Head of Product at Ververica

As Head of Product for Ververica Platform Konstantin is responsible for Ververica's commercial product, an enterprise-ready stream processing platform based on Apache Flink. Previously, he was leading the solutions architecture team and helping our clients as well as the Open Source community to get the most out of Apache Flink and Ververica Platform. Before joining Ververica he worked as a Senior Consultant with TNG Technology Consulting, where he supported their clients mainly in the areas of Distributed Systems and Automation. Konstantin has studied Mathematics and Computer Science at TU Darmstadt specializing in Stochastics and Algorithmics.

Operations

Apache Flink Worst Practices

Catlyn Kong

Catlyn Kong

Yelp

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Catlyn Kong

Software Engineer at Yelp

Catlyn is a software engineer on the stream processing team at Yelp where she builds and maintains infrastructure that makes real-time data processing with Flink easy and reliable. Most recently, she’s been focusing on bringing in Apache Beam into the streaming ecosystem at Yelp.

Operations

Flink acceptance testing and state compatibility checking

Bowen Li-1

Bowen Li

Alibaba

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Bowen Li

Senior Engineer, Committer of Apache Flink at Alibaba

Bowen is a committer of Apache Flink and senior engineer at Alibaba. He has been working on Flink for over 3 years, with extended experience on developing and operating Flink in Alibaba at an unprecedented scale.

Besides committing code and reviewing designs, Bowen is a frequent speaker of Flink at conferences and events, evangelizing Flink and stream processing, to make the world a little bit more real-time data driven at a time.

Technology Deep Dive

Production-Ready Flink and Hive Integration - what story you can tell now

Neng Lu

Neng Lu

StreamNative

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Neng Lu

Staff Software Engineer at StreamNative

Neng Lu is a staff software engineer at StreamNative where he drives the development of Apache Pulsar and the integrations with big data ecosystem. Before that, he was a senior software engineer at Twitter. He was the core committer to the Heron project and the leading engineer for Heron development at Twitter. He also worked on Twitter’s monitoring and key-value storage systems. Before joining Twitter, he got his master's degree from UCLA and a bachelor degree from Zhejiang University.

Ecosystem

Build your next-generation stream platform based on Apache Pulsar

Jagannathrao_Mudda

Jagannathrao Mudda

Netflix

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Jagannathrao Mudda

Senior Software Engineer at Netflix

Jagannathrao Mudda is a Senior Software Engineer at Netflix working in Consolidated Logging team. At Netflix, he is building schema-aware data streams of user behavior and application performance data that enables analytics and personalization using technologies such as Flink, Spark, Kafka, Hadoop etc. Prior to Netflix, he has several years of experience in leading software engineering teams for both large and small companies and building large scale, high-performance batch and real-time processing systems in domains such as online advertising and web analytics at Yahoo, data warehousing at BitYota, data platform at LifeLock/Symantec, and continuous data protection services at BMC Software.

Ecosystem

High-Quality Performant and Cost Efficient Schema-Aware Data Streams on Flink at Netflix Scale

Piyush_Narang

Piyush Narang

Criteo

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Piyush Narang

Staff Development Lead at Criteo

Piyush is a Staff Development Lead in Criteo’s AI Lab. His work involves building data infrastructure solutions to accelerate the pace of Machine Learning innovation at Criteo. Previously, he worked on various big-data libraries like Scalding, Algebird and Parquet at Twitter.
In his free time, he's found either trail running or curled up with a book (typically not at the same time).

Use Case

Building FeatureFlow, Criteo’s feature data generation platform

Piotr_Nowojski-1

Piotr Nowojski

Ververica

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Piotr Nowojski

Apache Flink Committer, Software Engineer at Ververica

Piotr Nowojski is a Software Engineer in Ververica and Flink committer working mostly on Flink’s runtime code. Previously, he was a Software Engineer in Teradata working on Presto – distributed batch SQL query engine.

Technology Deep Dive

Rethinking of fault tolerance in Flink: what lies ahead?

Jaehyeuk_Oh

Jaehyeuk Oh

Hyperconnect

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Jaehyeuk Oh

Azar, Matchmaking, Recommendation at Hyperconnect

Jacob Oh is a senior software engineer and team leader at Hyperconnect. Data Application Team is designing, developing and maintaining Hyperconnect's Recommendation Engine (Such as Azar's matchmaking system). Hyperconnect is the company serving the services like Azar based on Real-time Communication and ML Tech. With the experiences on researching UX and engineering Applications, He design and develop the products to make a better service experience.

Use Case

Data driven matchmaking streaming at Hyperconnect

Matyas Orhidi

Matyas Orhidi

Cloudera

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Matyas Orhidi

Software Engineer at Cloudera

Matyas has been working at Cloudera and assisting customers on their big data journey since 2016. After being a member of the Support, then the Professional Services team he has joined Engineering as a founding member of the Cloudera Flink team. He focuses on enterprise requirements including security and operations. Before joining Cloudera he was responsible for delivering classical software development projects in the Telecommunication and Financial sectors. He is a wine enthusiast and a hobby winemaker. He is married and proud owner of a 'sausage dog', Ziggy.

Technology Deep Dive

Testing production streaming applications

Becket_Qin

Becket Qin

Alibaba

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Becket Qin

Staff Software Engineer & Senior Manager at Alibaba

Jiangjie (Becket) is currently a software engineer at Alibaba where he mostly focus on the development of Apache Flink and its ecosystem. Prior to Alibaba, Becket worked at LinkedIn to build streams infrastructures around Apache Kafka after he received Master degree from Carnegie Mellon University in 2014. Becket is a PMC member of Apache Flink and Apache Kafka.

Ecosystem

AI made easy with Flink + AIFlow

Yu_Qian

Yu Qian

Weibo

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Yu Qian

Senior Software Engineer, Weibo Machine Learning at Weibo

Qian Yu is a senior algorithm engineer in Weibo. She has been working on building real-time data processing and online machine learning framework with Flink for several years. Also, she is experienced in the recommendation system applied in social media, helped to match best content to their users in Weibo.

Use Case

Machine learning with Flink in Weibo

Markos_Sfikas

Markos Sfikas

Ververica

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Markos Sfikas

Marketing Manager at Ververica

Markos Sfikas is a Marketing Manager at Ververica. He obtained an MSc in International Marketing from the University of Strathclyde. He previously worked at ResearchGate and LinkedIn in the areas of Product Marketing, Content Marketing & Online Advertising.

Community

Equality and inclusion as a way of developing diverse, resilient, and more relevant OSS

Mike_Solomon

Mike Solomon

Meeshkan

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Mike Solomon

CEO at Meeshkan

Mike Solomon is the CEO of Meeshkan, a Helsinki-based startup on a mission to help companies build, maintain, and ship great sandboxes and digital twins of their infrastructure.

Use Case

How Streaming Helps Your Staging Environment and Sandboxes Stay Up To Date

Wilfred_Spiegelenburg

Wilfred Spiegelenburg

Cloudera

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Wilfred Spiegelenburg

Staff Software Engineer at Cloudera

Wilfred is a Staff Software Engineer from Cloudera in Australia. He has worked on Hadoop for over 6 years mainly on Apache YARN, MapReduce and Spark. Currently, he works on the YuniKorn scheduler project. Before Cloudera, he has worked for SUN Microsystems and Oracle as part of the Identity Management teams as a developer and consultant for over 10 years. Wilfred holds a Master’s degree in Decision Support Systems from Sunderland University.

Community 

Energize Multi-tenancy Flink on K8s with YuniKorn

jincheng_sun

Jincheng Sun

Alibaba

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Jincheng Sun

Apache Flink Committer & PMC Member / Staff Engineer at Alibaba

Jincheng Sun is a PMC member of Apache Flink and ACL Beijing, He is also a committer for Flink, Beam, IoTDB. He is also an engineering lead at Alibaba Group. During 9 years working experiences at Alibaba, he participated and lead some of the critical systems inside the company and started the development of PyFlink.

Ecosystem

It’s finally here: Python on Flink & Flink on Zeppelin

Gordon-Tai

Tzu-Li (Gordon) Tai

Ververica

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Tzu-Li (Gordon) Tai

Apache Flink PMC, Software Engineer at Ververica

Tzu-Li (Gordon) Tai is an Apache Flink PMC and Software Engineer at Ververica. He is currently working on the Stateful Functions API (https://statefun.io) in Apache Flink. In the past, he has contributed to various other parts of the Apache Flink project, including some of the more popular streaming connectors for Flink (Apache Kafka, AWS Kinesis, etc.) as well as several topics surrounding evolvability of stateful Flink streaming applications.

Technology Deep Dive

State Unlocked

Technology Deep Dive

Stateful Functions: Polyglot Event-Driven Functions for Stateful Distributed Applications

Ramayan_Tiwari

Ramayan Tiwari

Netflix

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Ramayan Tiwari

Senior Software Engineer at Netflix

Ramayan Tiwari is an engineer in the Consolidated Logging team at Netflix, where he oversees the ingestion and processing of user behavior and app analytics events. Ramayan's interest and expertise lie in building and operating large scale distributed systems, distributed data stores, and messaging systems. Before Netflix, Ramayan worked Cruise to develop storage solutions for events generated from self-driving cars, Salesforce in their distributed job scheduler, and Amazon's metadata service.

Ecosystem

High-Quality Performant and Cost Efficient Schema-Aware Data Streams on Flink at Netflix Scale

Reza_Rokni

Reza Rokni

Google Dataflow

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Reza Rokni

Dev Advocate at Google Dataflow

In his 7 years @Google, Reza has been lucky enough to work with developers from many industries from Gaming to Banking, applying Google's Data Analytics technologies to new domains. Currently as developer advocate for Google Cloud Dataflow and Apache Beam, he gets to have fun talking about stream processing all day long, or should that be stream processing unbounded... :-)

Technology Deep Dive

Distributed Processing for Machine Learning Production Pipelines

Mayank_Verma

Mayank Verma

Lyft

X

Mayank Verma

Tech Lead for the Observability Team at Lyft

Mayank is a Tech Lead for the Observability team at Lyft. In his career spanning 12 years, Mayank has worked on building observability for Storage Area Networks (SAN) and Cloud management solutions for Access point vendors in networking space. Mayank interacted with Flink for the first time while build a proof-of-concept service for logging system at Lyft. Having built observability systems in the past and knowing the pain points, Flink made a huge positive impression. Since then, he has been very interested in Flink and developing for it.

Use Case

Structured logging at Scale

Timo_Walther-1

Timo Walther

Ververica

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Timo Walther

Software Engineer, Apache Flink PMC Member at Ververica

Timo Walther is a committer and PMC member of the Apache Flink project. He studied Computer Science at TU Berlin. Alongside his studies, he participated in the Database Systems and Information Management Group there and worked at IBM Germany. Timo works as a software engineer at Ververica. In Flink, he is mainly working on the Table & SQL API.

Ecosystem

Flink SQL in 2020: Time to show off!

Yang_Wang

Yang Wang

Alibaba

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Yang Wang

Big Data Senior Software Engineer at Alibaba

Yang Wang, more than 5 years Senior Software Engineer @ Alibaba. He is interested in big data, cloud native technologies and have lots experiences of large scale cluster resource management. Now mainly focus on Flink deployment, to make Flink run everywhere (e.g. on-premise cluster, cloud, serverless, IOT, etc.).

Ecosystem

Integrate Flink with Kubernetes natively

Seth_Wiesman-1

Seth Wiesman

Ververica

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Seth Wiesman

Solutions Architect at Ververica

Seth Wiesman is a Solutions Architect at Ververica, where he works with engineering teams inside of various organizations to build the best possible stream processing architecture for their use cases.

Technology Deep Dive

State Unlocked

Jark Wu

Jark Wu

Alibaba

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Jark Wu

Software Engineer at Alibaba

Jark Wu is a committer and PMC member of Apache Flink. He works as a software engineer at Alibaba and contributes to Apache Flink since 4 years ago. In Flink, he is mainly working on the Table & SQL API. Prior to Flink, Jark worked on JStorm which is a Java-version Apache Storm in Alibaba.

Technology Deep Dive

A deep dive into Flink SQL

Micah_Wylde

Micah Wylde

Lyft

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Micah Wylde

Software Engineer, Streaming Platform at Lyft

Micah Wylde is a software engineer on the streaming compute team at Lyft, focused on the development of Apache Flink and Apache Beam. Previously, he built data infrastructure for fighting internet fraud at Sift and real-time bidding infrastructure for ads at Quantcast.

Operations

How Lyft built a streaming data platform with Flink on Kubernetes

Ying Xu

Ying Xu

Lyft

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Ying Xu

Staff Engineer, Streaming Platform at Lyft

Ying currently works in Lyft's streaming platform team, where he investigates large-scale near real-time data ingestion and streaming pubsub infrastructure. Prior to Lyft Inc, he worked at Linkedin where he designed kafka-driven cross data center replication for Espresso -- Linkedin's scalable, time-line consistent source-of-truth NoSQL database.

Use Case

Large-scale near-real-time (NRT) data analytics platform empowered by Apache Flink

Weiwei_Yang

Weiwei Yang

Cloudera

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Weiwei Yang

Staff Software Engineer, Apache Hadoop Committer and PMC member at Cloudera

Weiwei Yang is a Staff Software Engineer from Cloudera, an Apache Hadoop committer and PMC member. He has been working on big data areas, especially Hadoop, over 8 years. He is focused on technology around large scale, hybrid computation systems. Before Cloudera, he worked in Alibaba’s realtime computation infrastructure team, focused on enhancing the platform to be more efficient, stable and scalable. Prior to that, he worked in the IBM big data organization for several years. Weiwei holds a master’s degree from Peking University.

Community

Energize Multi-tenancy Flink on K8s with YuniKorn

Gihoon Yeom

Gihoon Yeom

Hyperconnect

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Gihoon Yeom

Software Engineer, Match Unit Lead at Hyperconnect

Gihoon Yeom has worked as a software engineer for 4 years at HyperConnect. He is interested in using data to create new value and has focused on real-time distributed data engineering projects using Spark and Flink.

Use Case

Data driven matchmaking streaming at Hyperconnect

 

Kurt Young

Kurt Young

Alibaba

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Kurt Young

Engineering Lead at Alibaba

Kurt Young is a PMC member of Apache Flink and Apache Druid. He is also an engineering lead at Alibaba Group. During 9 years working experiences at Alibaba, he participated and lead some of the critical systems inside company, such as search engine, scheduling system, monitoring and online analytics system. He also lead a SQL engine team which heavily based on Apache Flink, serving nearly all business units of Alibaba group.

Technology Deep Dive

A deep dive into Flink SQL

Youjun_Yuan

Youjun Yuan

Baidu

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Youjun Yuan

Technical Lead, Senior R&D Engineer at Baidu

Lead of Real Time processing platform of IoT department of Baidu Cloud.

Ecosystem

Extend Flink to edge computing with much lower footprint

Krzysztof-Zarzycki

Krzysztof Zarzycki

GetInData

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Krzysztof Zarzycki

CTO at GetInData

Krzysztof is an engineer and an entrepreneur passionate about solutions that take advantage of Big Data technologies. He is a Big Data geek working with those technologies, HPC, distributed systems and machine learning for over 10 years, previously in companies like Netezza/IBM or Hadapt/Teradata and other startups. Finally, with others like him he found a company Getindata that offers services in building data-driven solutions where he plays the CTO role. But he likes to work full-stack going from nailing the business problem to architecting a solution to engineering it down and to installing, troubleshooting and monitoring. Now he specializes in building scalable real-time analytics solutions.

Use Case

CEP platform handling millions of users - lessons from 2 years in production

Jeff_Zhang

Jeff Zhang

Alibaba

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Jeff Zhang

Staff Engineer at Alibaba

Jeff has 11 years of experience in big data industry. He is an open source veteran, start to use Hadoop since 2009 and is PMC of several Apache projects Tez/Livy/Zeppelin and committer of Apache Pig. His past experience is not only on big data infrastructure, but also on how to leverage these big data tools to get insight. He speaks several times on big data conferences like Hadoop summit, Strata + Hadoop world. Now he works in Alibaba Group as a staff engineer. Prior that he works in Hortonworks where he developed these popular big data tools.

Ecosystem

It’s finally here: Python on Flink & Flink on Zeppelin