Speakers

  • Stream Processing
  • Event Driven
  • Real Time

Global Virtual Conference 2020

October 19-20
Training
October 21-22
Conference

About the Speakers

Meet the experts from global companies like Cloudera, Houzz, Pinterest, Spotify, Microsoft 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

Peter Chalif

Peter Chalif

Citi

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Peter Chalif

Managing Director & Co-Head Global Beta Electronic & Algo Trading at Citi

Peter Chalif is Co-Head of Beta, Electronic and Algo Trading for Global Spread Products (GSP). Over the last 20+ years he has built and managed multiple innovative trading businesses across municipal and corporate bonds, municipal and derivatives, fixed income ETFs, and loans, including Muni: Proprietary Trading, Rate & Credit Derivatives, ETFs, Short Term, and CCC Loans. He has also designed and co-developed multiple real time trading, risk, and algorithmic trading systems for Citi. Peter now co-manages the trading and development of GSP’s algorithmic trading, ETF Trading, and portfolio trading desks and the ETF effort for Rates.

Keynote

Flink First: Designing Modern Trading Systems

Ricky Saltzer

Ricky Saltzer

Epic Games

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Ricky Saltzer

Senior Data Engineer at Epic Games

Ricky is a Senior Data Engineer on the data platform team at Epic Games. His team focuses on building real-time infrastructure to support core projects, such as Fortnite and the recently launched Epic Online Services. Before Epic, Ricky was a Data Engineer at Cloudera for 6 years, and is a committer on the Apache NiFi project.

Keynote

Real-Time Metrics at Fortnite Scale

Conference Speakers

Shashank Agarwal

Shashank Agarwal

Razorpay

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Shashank Agarwal

General Manager at Razorpay & Founder Thirdwatch at Razorpay

Shashank Agarwal is one of the founders of Thirdwatch. After the acquisition of Thirdwatch by Razorpay, he currently heads the Thirdwatch business at Razorpay and is focused on curating a wholesome fraud solution for e-commerce businesses. He also heads engineering for the risk vertical at Razorpay. Shashank has a demonstrated history of working on Data platforms, AI/ML technologies, adTech and mobile based solutions. He is a true believer in tech innovation leadership and has developed multiple products in the past scaling them from 0 to 1. 

Use Case

Data science at scale using Apache Flink : Dynamic model serving and real-time feature generation

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Enrico Agnoli

Workday

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Enrico Agnoli

Software Engineer at Workday

Agnoli Enrico is a Software Engineer at Workday. During the last 6 years, he worked on multiple technical projects as a developer, tech lead and people manager at different stages. Currently involvements:
- As architect and developer to technically lead the delivery of a new DataStreaming platform to support ML
- Investigate new technologies and deliver POC for possible new tools/products, like streaming platforms, blockchain, audibility of machine learning models and data security
- Being part of the Workday Giving&Doing foundation, he helps to organize events and raise awareness on various causes / nonprofit groups.
Studied at Politecnico of Milan and moved to Germany right after to work first on Honda’s ASIMO humanoid robots, then on automation software in one of Europe biggest datacenter for Amadeus and finally for Workday, #1 Future Fortune company of 2018. Workday's innovator of the year in 2018 for a research project on Blockchain.

Use Case

Flink @WORKDAY: scaling of ingestion data pipelines to S3

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Muhammad Haseeb Asif

RISE/KTH

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Muhammad Haseeb Asif

Big Data Researcher at RISE/KTH

Haseeb Asif is a dual degree master student at the KTH Royal Institute of Technology, Stockholm, and TU Berlin. His primary focus of work is in distributed systems and Data intensive processing. He wrote his master thesis on External Streaming State Consistency and Processing Guarantees for Apache Flink. His research work is focused on performance optimization of state backends. In particular, stream processing using modern data stream processing engines, i.e. Apache Flink.

Ecosystem

FlinkNDB : Skyrocketing Stateful Capabilities of Apache Flink

Girish Baliga

Girish Baliga

Uber

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Girish Baliga

Engineering Manager at Uber

Girish manages Flink, Pinot, and Presto teams at Uber. Before that, he spent over a decade optimizing resources, search ads, and geo data analytics at Google, interrupted by a brief start-up stint at Urban Engines. He has a PhD in Computer Science and an MS in Math from UIUC.

Community and Industry Impact

Powering OLAP at Uber using Apache Flink

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Niels Basjes

bol.com

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Niels Basjes

Corporate Inventor at bol.com

Niels Basjes (1971) has been working for bol.com since May 2008. Before that he was working as a Webanalytics architect for Moniforce, and as an IT architect/researcher at the National Aerospace Laboratory in Amsterdam.

Since the second half of the 1990s he has been working on processing problems that require scalability. He has applied these concepts in the past 15 years in aircraft/runway planning, IT operations and in the field of web analytics to build reports for some of the biggest websites in the Netherlands.

Also at bol.com the primary focus of Niels Basjes are scalability problems and he is responsible for a shift in thinking about data and the business value it contains. Niels designed and implemented many of the personalisation algorithms that are in production today at bol.com.

Niels studied Computer Science at the TU Delft, and has Business administration degree at Nyenrode University.

Niels is an active opensource developer who is one of the Apache Avro PMC members and has authored ( https://github.com/nielsbasjes/ ) and contributed various improvements and bugfixes to projects like Hadoop, HBase, Pig, Flink, Beam and Storm.

Operations

When your stream doesn’t stream very well

Lawrence_Benson

Lawrence Benson

Hasso Plattner Institute

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Lawrence Benson

Student at Hasso Plattner Institute

Lawrence is a PhD student in the Data Engineering Systems Group at the Hasso Plattner Institute (HPI) in Potsdam under the supervision of Prof. Dr. Tilmann Rabl. His research interests lie in data- and stream-processing on modern hardware, such as non-volatile memory (NVRAM) and remote direct memory access (RDMA). Before beginning his PhD, he completed his M.Sc. at HPI, also with a strong focus on databases and stream processing. During his studies he did two internships at Google in California and New York, working on stream processing.

Technology Deep Dive

Disco: Efficient Distributed Window Aggregation

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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.

Use Case

Getting Started with Flink for Small Teams w/ RabbitMQ and Kubernetes

Shahid_Chohan

Shahid Chohan

Stripe

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Shahid Chohan

Infrastructure Engineer at Stripe

Shahid Chohan is a software engineer on Stripe’s Streaming team where he works on a number of real-time data infrastructure initiatives, including operating Flink as a platform for Stripe’s engineers. Prior to joining Stripe, Shahid worked on change-data-capture, real-time data-warehousing, and real-time experimentation systems at Yelp.

Technology Deep Dive

Streaming, Fast and Slow: Mitigating Watermark Skew in Large, Stateful Jobs

Michal Ciesielczyk

Michal Ciesielczyk

Deep.BI

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Michal Ciesielczyk

Head of AI Engineering at Deep.BI

Michał Ciesielczyk is the Head of AI Engineering at Deep.BI. He is responsible for researching, building and integrating machine learning tools with a variety of technologies including Scala, Python, Flink, Kafka, Spark, and Cassandra. Previously, he worked as an assistant professor at the Poznan University of Technology, where he received a Ph.D. in computer science and was a member of a research team working on numerous scientific and R&D projects. He has published more than 15 peer reviewed journal and conference papers in the areas of recommender systems and machine learning.

Use Case

Using Flink for Versatile Feature Engineering Pipelines

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Stephan Ewen

Ververica

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Stephan Ewen

CTO at Ververica

Stephan Ewen one of the original creators and PMC Chair of Apache Flink, and CTO and co-founder of Ververica (recently acquired by Alibaba Group). Stephan leads the development and direction of Apache Flink inside Ververica, following the vision to build the next generation architecture for data analytics and distributed applications, powered by stream processing technology.

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.

Technology Deep Dive

Fault Tolerance 2.0 for Apache Flink

Leire Fernandez de Retana Roitegui

Leire Fernandez de Retana Roitegui

Workday

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Leire Fernandez de Retana Roitegui

Senior Software Engineer at Workday

Leire has been a Software Engineer at Workday for the last 5 years, although it has been over a decade that she is immersed into Software development, performing multiple roles as developer, tech lead and mentor.

Leire is passionate about building quality code, from conception through implementation, testing and delivery. Being the newest member of the Data Streaming Platform team in Workday, she's excited to be given the opportunity to work with Apache Flink and explore the possibilities and challenges that it has to offer.

When not behind a computer, Leire enjoys ‘all things outdoors’, with a bit of circus arts on the side.

Use Case

Flink @WORKDAY: scaling of ingestion data pipelines to S3

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Gyula Fora

Cloudera

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Gyula Fora

Software 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.

Ecosystem

End-to-end Flink SQL with Schema Registry, Kafka & Kudu

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Zhenqiu Huang

Uber

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Zhenqiu Huang

Senior Software Engineer at Uber

Zhenqiu Huang is a senior software engineer at Uber. He worked the Unified Streaming and Batch using Flink SQL for high data quality streaming use cases at Uber. Now, he is mainly working on unified AthenaX and FaaS job deployment and management in heterogeneous compute environment (Prim DC and Cloud) at Uber.

Operations

Building Unified Streaming Platform at Uber

Nick Hwang

Nick Hwang

Intuit

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Nick Hwang

Engineering Manager at Intuit

Nick leads the Stream Processing Platform team as a part of the Intuit Data Platform. He focuses on providing self-serve and low-barrier access to state-of-the-art stream processing technologies throughout Intuit. Previously, Nick has also applied big data technologies to trust and safety (at Reddit) and predictive marketing (at Radius Intelligence).

Use Case

Build Streaming Processor platform On Flink

Simba Khadder

Simba Khadder

StreamSQL

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Simba Khadder

Founder and CEO at StreamSQL

Simba Khadder is a product leader with a strong engineering background. He has worked as a software engineer at Google where he worked on Cloud Datastore and Search. At StreamSQL, he leads a team delivering the next generation of datastore built on event-sourcing. He's a published astrophysicist for his work on finding Planet 9 and ran the SF marathon in basketball shoes.

Use Case

Feature Stores: Powering Machine Learning Infrastructure with Apache Flink

 

 

 

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Dongchul Kim

Hyperconnect

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Dongchul Kim

Data Application Engineer, Azar, Recommendation at Hyperconnect

Dongchul Kim is working as a data application developer on HyperConnect. Kim builds a data pipeline using spark and flink, and implements services(recommendation system, push system, etc) related to azar, a representative app of HyperConnect, using streaming.

Operations

On-demand low-latency feature generation at Hyperconnect

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Ajit Koti

Netflix

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Ajit Koti

Senior Engineer at Netflix

Ajit Koti is a Senior Engineer on the Growth Data Engineering team at Netflix, building distributed data processing systems. He has over 15 years of experience in building and architecting large-scale distributed systems and high frequency trading systems. Ajit has previously worked for Fanatics, IBM Labs and J P Morgan.

Use Case

Tale of Stateful Stream to Stream Processing

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Aljoscha Krettek

Ververica

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Aljoscha Krettek

Software Engineer at Ververica

Aljoscha Krettek is a co-founder at Ververica where he works on the Flink APIs in the open source. He is also a PMC member at Apache Flink and Apache Beam. Before working on Flink, he studied Computer Science at TU Berlin, he has worked at IBM Germany and at the IBM Almaden Research Center in San Jose. Aljosch has spoken at Hadoop Summit, Strata, Flink Forward and several meetups about stream processing and Apache Flink before.

Technology Deep Dive

Unified Flink APIs at Last

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Nico Kruber

Ververica

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Nico Kruber

Solutions architect at Ververica

Nico Kruber is an Apache Flink committer, working as a Solutions Architect at Ververica where he is helping our clients and the open source community to get the most out of Apache Flink. For this, Nico can leverage his in-depth knowledge of Flink, Ververica Platform, and the expertise of our team. Before joining Ververica, Nico was working on his PhD in parallel and distributed systems at the Zuse-Institute Berlin and was developing a transactional key-value store.

Use Case

A Year in Flink - Flink SQL Live Coding

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Sruthi Sree Kumar

RISE/KTH

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Sruthi Sree Kumar

Research Intern at RISE/KTH

Sruthi Sree Kumar is a dual degree master student at the KTH Royal Institute of Technology, Stockholm, and TU Berlin. She is also a research intern at Research Institutes of Sweden (RISE) where her primary focus of work is in distributed data processing systems. She wrote her master thesis on External Streaming State Abstractions and Benchmarking. Her research work is focused on performance improvement of Flink state backend.

Ecosystem

FlinkNDB : Skyrocketing Stateful Capabilities of Apache Flink

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Jingsong Li

Alibaba

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Jingsong Li

Senior Engineer at Alibaba

Jingsong is a committer of Apache Flink and Apache Beam, he is a senior engineer at Alibaba.
Since 2014, he has focused on the research and development of streaming computing within Alibaba.
Since 2017, he has focused on the development of Alibaba Blink, and also contributed Apache Flink community actively.

Recently, he mainly focuses on unifying streaming and batch using Apache Flink in data warehouse architecture.

Ecosystem

Flink SQL: Unified Streaming and batch for hive integration

David_Massart

David Massart

D.E.Solution

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David Massart

Solution Architect at D.E.Solution

David is a solution architect with a proven record building distributed architectures and big data and fast data solutions. His recent achievements include a real-time fraud monitoring engine for instant payment or a lambda-like architecture for collecting, processing and storing data collected from thousands of smart cameras and sensors. David holds a PhD in information science from the Free University of Brussels (ULB).

Use Case

Metamodelization and Automatic Generation of ML Pipelines

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Lasse Nedergaard

Trackunit

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Lasse Nedergaard

System Architect and Lead Developer at Trackunit

System architect and lead developer at Trackunit, Denmark Started with Flink 1.2 and build Trackunit IoT platform. Worked with other big data projects. Build large distributed database systems with Microsoft SQL server.

Use Case

Alert detection in IoT using broadcast state

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Pradeep Nethagani

Yelp

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Pradeep Nethagani

Software Engineer at Yelp

Pradeep Nethagani is a software engineer on the Trust and Safety team at Yelp focused primarily on bot detection. Previously, he worked at Skyhigh Networks building data pipelines for real time anomaly detection in cloud services. His interests lie in distributed systems, algorithms and various ML methodologies.

Use Case

Realtime bot detection with Flink

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.

Operations

On-demand low-latency feature generation at Hyperconnect

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Marta Paes

Ververica

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Marta Paes

Developer Advocate at Ververica

Marta is a Developer Advocate at Ververica (formerly data Artisans) and a contributor to Apache Flink. After finding her mojo in open source, she is committed to making sense of Data Engineering through the eyes of those using its by-products. Marta holds a Master’s in Biomedical Engineering, where she developed a particular taste for multi-dimensional data visualization, and previously worked as a Data Warehouse Engineer at Zalando and Accenture.

Use Case

Building an End-to-End Analytics Pipeline with PyFlink

 

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Arti Pande

ThoughtWorks India

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Arti Pande

Lead Consultant at ThoughtWorks India

As a Lead consultant at ThoughtWorks with over 14 years of industry experience, Arti is responsible for architecting and building enterprise data solutions, providing advisory to clients in multiple strategic initiatives. In the past she has led the efforts of building multiple data-driven initiatives like scaling a high-volume data processing pipeline for radio telescope, creating recommendation engine for retail domain and re-architecting the enterprise application echo system for financial customers.

Use Case

A journey of scaling high-volume low-latency stateful processing

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Fabian Paul

Ververica

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Fabian Paul

Software Engineer at Ververica

Fabian is a software engineer at Ververica. He is part of the team responsible for developing the Ververica Platform.
He received a Master’s degree from the Hasso Plattner Institute in Potsdam, where he researched adaptive stream processing with Apache Flink.

Operations

Towards a Flink Autopilot in Ververica Platform

Chen_Qin

Chen Qin

Pinterest

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Chen Qin

Staff Software Engineer at Pinterest

Chen is working on the Pinterest streaming platform, Xenon. Previously, he contributed to Flink open source and introduced Flink to Uber in 2016. He had been working on Spark and XGBoost project and helped Uber run large scale training since 2018.

Operations

Growing a managed Flink streaming platform from scratch

Lakshmi Rao

Lakshmi Rao

Lyft

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Lakshmi Rao

Software Engineer at Lyft

Lakshmi is a software engineer on the streaming platform team at Lyft. The team builds and supports the core infrastructure that enables several product teams at Lyft to easily and reliably spin up Flink jobs to perform aggregations on real-time data. Most recently, she has been spending time re-architecting the platform to a Kubernetes based deployment. Prior to Lyft, Lakshmi worked in fin-tech land, building a search and information retrieval platform for Goldman Sachs.

Operations

Zero-downtime upgrades of Flink applications

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Filipe Regadas

Spotify

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Filipe Regadas

Software Engineer at Spotify

Solving data processing at scale at Spotify. I'm an active open source contributor for projects spanning the areas of functional programming, type systems, tooling, and infrastructure.

Ecosystem

Data processing at Spotify - Why portability matters

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Qingsheng Ren

Alibaba

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Qingsheng Ren

Software Engineer at Alibaba

Qingsheng (Patrick) Ren is currently a software engineer at Alibaba, focusing on Apache Flink ecosystem such as Apache Kafka connector and change data capture in database system. He received his Master's degree from Carnegie Mellon University and Bachelor's degree from Zhejiang University.

Ecosystem

Change Data Capture and Processing with Flink SQL

Gael_Renoux

Gaël Renoux

DataDome

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Gaël Renoux

Senior Developer at DataDome

Gaël has been a software developer for more than 15 years - and has successfully avoided becoming a manager during most of that time. He’s done IT consulting for big companies for a decade before going into start-ups. He’s usually the one at DataDome who likes refactoring stuff, teaching about Scala, and finding the most elegant way to implement a feature. In his free time, he likes coding on his Open Source projects and reading pretty much any science book he gets his hands on.

Technology Deep Dive

Handling frequent changes in state structure

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Till Rohrmann

Ververica

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Till Rohrmann

Engineering Lead at Ververica

Till is a PMC member of Apache Flink and software engineer at Ververica. His main work focuses on enhancing Flink’s scalability as a distributed system. Till studied computer science at TU Berlin, TU Munich and École Polytechnique where he specialized in machine learning and massively parallel dataflow systems.

Technology Deep Dive

News from Flink’s engine room: “Full steam ahead”

Alberto Romero copy

Alberto Romero

HUMN.AI

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Alberto Romero

CTO and Co-Founder at HUMN.AI

Passionate about data processing and analytics, Flink and Kafka in particular; dedicated microservices and distributed computing architect; moonlighting developer; early adopter of Linux and contributor to open source projects.

Over 15 years in Financial Services organisations (HSBC, Lloyds Banking Group, Citibank, BBVA) and Tech companies (Hortonworks, Nokia, EMC). Co-Founder of HUMN.AI in 2017.

Use Case

Sampling and Modelling the World in Real-Time for Mobility

 

Caito_Scherr

Caito Scherr

Ververica

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Caito Scherr

Developer Advocate at Ververica

Caito is a software engineer in Portland, Oregon who most recently worked on New Relic's main stream processing team. She has presented about this work at various meetups and conferences (in the US and Europe). Outside of tech, she loves running, woodworking, and terrible puns.

Technology Deep Dive

Flink in the Beam World

Kelly_Smith (1)

Kelly Smith

Zillow

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Kelly Smith

Principal Software Engineer at Zillow

Kelly is a member of Zillow's data streaming platform team where he has spent the last year driving Flink and Kafka adoption across the company.

Ecosystem

How We’re Democratizing Stream Processing at Zillow

Shi Dongjie

Dongjie Shi

Intel

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Chinmay Soman

Uber

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Chinmay Soman

Sr. Staff Engineer at Uber

Chinmay Soman has been working in the distributed systems domain for the past 10+ years. He started out in IBM where he worked on distributed filesystems (NFS) and replication technologies. He then joined the Data Infrastructure team in LinkedIn and worked on Voldemort – an open source distributed key-value store, as well as Apache Samza. He’s currently a Senior Staff Software Engineer in Uber where he leads the Streaming Platform team. This team is responsible for building a pub-sub messaging infrastructure and real time analytics platform.

Community and Industry Impact

Powering OLAP at Uber using Apache Flink

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Jiaming Song

Intel

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Jiaming Song

Machine Learning Engineer at Intel

Mr. Song Jiaming is now Machine Learning engineer at Intel. He is a key contributor to open source Big Data + AI project Analytics Zoo. He is now focusing on the development of Cluster Serving.

Use Case

Cluster Serving: Distributed Model Inference using Apache Flink in Analytics Zoo

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Timothy Spann

Cloudera

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Timothy Spann

Field Engineer, Data in Motion at Cloudera

Tim Spann is a Field Engineer at Cloudera where he works with Apache NiFi, MiniFi, Kafka, Apache Flink, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a senior solutions architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.

Community and Industry Impact

Using the Mm FLaNK Stack for Edge AI (Flink, NiFi, Kafka, Kudu)

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Xuannan Su

Alibaba

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Xuannan Su

Software Engineer at Alibaba

Xuannan is a software engineer at Alibaba. He is focusing on the development of Apache Flink and its ecosystem after he received his master's degree from Carnegie Mellon University in 2019.

Ecosystem

Introducing Tensorflow on Flink

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Menglei Sun

Houzz

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Menglei Sun

Senior Software Engineer at Houzz

Menglei is a Senior Software Engineer at Houzz. He is responsible for a wide range of data projects including Flink infrastructure and its applications, logging data pipeline & observability, mobile data engineering. Prior to this, Menglei worked at Blackrock focusing on the data pipeline and storage.

Use Case

Flink powers Houzz Realtime Pipeline and Applications

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Julien Tournay

Spotify

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Julien Tournay

Data Engineer at Spotify

Julien has been working with Scala and contributing on various open-source projects for the past 10 years. Since 2018, he is working for Spotify as a Data Engineer in the Data & Insight tribe, building libraries and tooling used in most of Spotify's data pipelines.

Ecosystem

Data processing at Spotify - Why portability matters

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Chethan U

Rapido

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Chethan U

Big Data Engineer at Rapido

Big Data Engineer at Rapido, India’s Largest Bike Taxi

Use Case

Real-Time ML Applications at Scale with Flink and Beam on Kubernetes and GCP

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Balazs Varga

Cloudera

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Balazs Varga

Flink Engineering Intern at Cloudera

Balazs is an intern in the Flink Engineering team at Cloudera. His spring internship project involved contributing to the Bahir Kudu connector, and exploring its use cases in SQL pipelines. He continues to learn and develop his interests in stream processing and distributed systems.
He is involved in research projects at the university. He has recently been working on the automated refactoring of concurrent and distributed programs.

Ecosystem

End-to-end Flink SQL with Schema Registry, Kafka & Kudu

Dmitry_Voronov (1)

Dmitry Voronov

Microsoft

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Dmitry Voronov

Software Engineer at Microsoft

For the last 3 years I've been working with Apache Flink framework in the Infrastructure team. 

Provide infrastructure support for several research teams that build Anomaly Detection Engine.

 

About 10 years of experience with Big Data distributed frameworks such as Spark, Hadoop, Flink, and NoSql databases.

Had various engineer and tech lead roles for big data projects at companies like Akamai, Liveperson, Amadesa.

 

Use Case

Load Imbalance

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Manuela Wei

Intuit

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Manuela Wei

Principle Product Manager at Intuit

Manuela drives the product vision for the self-serve, managed Stream Processing Platform based on Apache Flink and Apache Beam. The Stream Processing Platform is used by Intuit Data/ML Engineers and Data Scientists to accelerate development of streaming applications which drive personalization, fraud detection, and ML insights across Intuit products.

Use Case

Build Streaming Processor platform On Flink

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Seth Wiesman

Ververica

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Seth Wiesman

Senior 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.

Use Case

Hands-on Stateful Serverless Applications with Kubernetes and Stateful Functions

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.

Ecosystem

Change Data Capture and Processing with Flink SQL

Andrey Zagrebin

Andrey Zagrebin

Ververica

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Andrey Zagrebin

Software Engineer at Ververica

Andrey is an Apache Flink Committer and a Software Engineer at Ververica. Andrey’s work focuses primarily on Apache Flink’s distributed coordination and deployment. Previously, he worked at T-Mobile building a large scale infrastructure for batch and real-time analytics of customer experience.

Operations

Flink's New Dockerfile: One File to Rule Them All

Krzysztof-Zarzycki

Krzysztof Zarzycki

Getindata

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Krzysztof Zarzycki

CTO at Getindata

Krzysztof is an architect, engineer and an entrepreneur passionate about solutions that take advantage of Big Data technologies. Working with distributed systems, analytics and machine learning for over 11 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. For 6 years he specializes in building scalable real-time analytics solutions.

Use Case

CEP platform handling millions of users - lessons from 3 years in production

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Ping Zou

Intuit

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Ping Zou

Principle Engineer at Intuit

Piing Zou is a Principal Engineer who is an architect at the Intuit Data Platform organization leading the Streaming Processor Platform. She also worked at Intuit Kubernetes and Intuit open-source machine learning anomaly detection/auto-scaling projects.
Before that Ping Zou is Sr. Principal Engineer at PayPal and eBay led, designed and implemented Unified Monitoring Platform, mobile payment, Cloud PaaS, Messaging Infrastructure, and e-commerce application.

Use Case

Build Streaming Processor platform On Flink

Training Team

David-Anderson

David Anderson

Ververica

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David Anderson

Training Coordinator at Ververica

David is responsible for training at Ververica, and enjoys teaching users about Apache Flink. He is also a teacher and mentor at Data Science Retreat, where he established the curriculum in big data engineering. In recent years, David has lead teams building analytics pipelines, recommender systems, and visualization products. Earlier, as a research scientist, he applied machine learning techniques to create better user experiences — for toys, learning environments, and logistics optimization.

Training

Introduction to Tuning & Troubleshooting

Apache Flink Developer Training (Part II)

Alexander Fedulov

Alexander Fedulov

Ververica

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Alexander Fedulov

Solutions Architect at Ververica

Alexander Fedulov is a Solutions Architect at Ververica. He enjoys helping clients to build robust solutions based on distributed open source technologies. He is passionate about scalability and elegant systems design. When he has time, he likes to dig into the source code of Apache Flink to see how exactly the "magic" happens beyond the API level.

Training

Apache Flink Runtime & Operations Training

Nico_Kruber (1)

Nico Kruber

Ververica

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Nico Kruber

Solutions Architect at Ververica

Nico Kruber is an Apache Flink contributor and works as a Solutions Architect at Ververica. He is very passionate about open source projects and likes to dig deeper into Flink’s core to further improve performance and extend Flink’s capabilities where possible. Before joining Ververica, Nico was working on his PhD in parallel and distributed systems at Zuse-Institute Berlin.

Training

Advanced Apache Flink Tuning & Troubleshooting

Jun Qin-1

Jun Qin

Ververica

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Jun Qin

Solutions Architect at Ververica

Jun Qin is a Solutions Architect at Ververica. Previously, he worked as a Technical Account Manager in MapR and as a senior system support programmer/analyst in Amadeus. He graduated with honors from the University of Innsbruck with a PhD degree in computer science. He specializes in distributed computing and system architecture. In his spare time, Jun enjoys hiking, travelling, table tennis playing, etc. He is also ambitious to teach kids how to program.

Training

Apache Flink Developer Training (Part I)

Timo_Walther-1

Timo Walther

Ververica

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Timo Walther

Software Engineer 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.

Training

SQL Developer Training (Part I)

SQL Developer Training (Part II)

Seth_Wiesman-1-1

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.

Training

Stateful Functions Training