Speakers

  • Stream Processing
  • Event Driven
  • Real Time

Global Virtual Conference 2021

October 18-21
Training
October 26-27
Conference

About the Speakers

Meet the experts from global companies like Apple, Pinterest, Splunk, Netflix, Shopify, 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

Conference Speakers

AlexanderFedulov

Alexander Fedulov

Ververica

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Alexander Fedulov

Tech Architect at Ververica

Alexander currently works as a Solutions Architect at Ververica. His previous experience includes working in a variety of engineering roles building event-driven and data-intensive applications.

Ecosystem

A Debuggers Guide to Apache Flink Streaming Applications

AndrewNguonly

Andrew Nguonly

Netflix

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Andrew Nguonly

Developer at Netflix

Developer for Netflix's Real Time Data Infrastructure team.

Ecosystem

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

AndreyFalko

Andrey Falko

Salesforce

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Andrey Falko

Tech Architect at Salesforce

Andrey Falko has been in the Streaming space for over 5 years. Most recently he oversaw the Apache Flink platform at Stripe. Prior to that, he built and scaled Apache Kafka for Lyft's Data Platform. At Salesforce, Andrey built a CI/CD system to support Stream and Batch systems. While there he also researched Apache Pulsar and Apache Kafka performance and reliability. Outside of the Streaming space, Andrey built an IaaS system, launched a distributed tracing system with Apache Zipkin, and wrote features for the Salesforce platform. Andrey has recently returned for a second tour at Salesforce.

Technology Deep Dive

Fault Tree Analysis Applied to Apache Flink

Aniket_Mokashi-b&w-1

Aniket Mokashi

Facebook

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Aniket Mokashi

Engineering Manager at Facebook

Aniket Mokashi is an Engineering Manager on Stream Processing team at Facebook. Throughout his career, he has contributed to the development of large scale data processing frameworks and platforms. Prior to Facebook, he has worked on data platform teams at Youtube, Twitter and Netflix. He is also a committer and PMC member on Apache Parquet and Apache Pig projects. Aniket holds a Master's degree in Information Networking from Carnegie Mellon University.

ArvidHeise

Arvid Heise

Ververica

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Arvid Heise

Developer at Ververica

Arvid has been working on Flink for 2 years, mostly on fault tolerance. Before that, he worked as a consultant data engineer in companies, such as Flixbus or Bayer.

Ecosystem

Integrating Flink into your ecosystem - How to build a Flink connector from scratch

BrentDavis

Brent Davis

Splunk

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Brent Davis

Principal Performance Engineer at Splunk

Brent Davis has 20+ years of hands-on experience in end-to-end performance, scalability, reliability, modeling, and infrastructure work. He has worked extensively in cloud-scale applications over the last several years. Brent is passionate about solving difficult performance problems at the extremes of scale, and works across Splunk products with deep technical enthusiasm. Outside of work, you can find him, literally outside, hiking in the mountains of Northern Colorado.

Technology Deep Dive

Sources, Sinks, and Operators: A Performance Deep Dive

Chen_Qin_Pinterest_B&W

Chen Qin

Pinterest

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Chen Qin

Tech Lead, Stream Processing Platform at Pinterest

Chen has been working on the Pinterest stream processing platform, Xenon. Previously, he has been working on various data systems since 2007.
Before Pinterest, he contributed to open source projects (Apache Flink, XGBoost) and introduced Flink to Uber in 2016.

David-Anderson

David Anderson

Ververica

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David Anderson

Flink Committer & Trainer at Ververica

As the training coordinator at Ververica, David enjoys helping users discover the beauty in Apache Flink.

Before joining Ververica, David led the development of data-intensive applications for companies across Europe, including recommender systems, BI tools, and search engines. 

Technology Deep Dive

Introduction to Flink in 30 minutes

David-Moravek-b&w

David Moravek

Ververica

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David Moravek

Software Engineer at Ververica

David is a Senior Software Engineer at Ververica and Apache Beam committer. He spent the last half of the decade working on petabyte-scale data pipelines and leading some of the most amazing engineering teams. His current focus is on the Deployment and Coordination of Apache Flink.

DawidWysakowicz

Dawid Wysakowicz

Ververica

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Dawid Wysakowicz

Developer at Ververica

Dawid Wysakowicz is a Flink committer & PMC, currently working as a Software Engineer at Ververica. His journey with highly distributed and scalable solutions started in 2015 while writing a Master Thesis on Distributed Genomic Datawarehouse.

Technology Deep Dive

Rundown of Flink’s Checkpoints

DianFu

Dian Fu

Alibaba

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Dian Fu

Software Engineer at Alibaba

Dian Fu is a committer and PMC member of the Apache Flink project. He is currently a software engineer at Alibaba where he mainly focuses on PyFlink. Before that,
he was a software engineer at Intel working on Hadoop.

Ecosystem

PyFlink: Building Flink applications with Python language

DivyeKapoor

Divye Kapoor

Pinterest

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Divye Kapoor

Tech Leadership at Pinterest

Divye came to the SF Bay Area 10 years ago, joining Google and delivering Tweet results on the Search Results Page. At LinkedIn he delivered Comment Relevance on LinkedIn's Feed. These days, he's working on Pinterest's Stream Processing Platform (Xenon) as the founder and tech lead for Near Realtime Galaxy (NRTG) platform.

Use Case

NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest

DylanMeissner

Dylan Meissner

Nordstrom

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Dylan Meissner

Developer at Nordstrom

Dylan is an engineer supporting Nordstrom's streaming platform. When he's not automating things he enjoys reading, drawing, and traveling, in that order.

Stateful Functions

Fitting Stateful Functions into a streaming platform

FanshuJiang

Fanshu Jiang

Pinterest

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Fanshu Jiang

Software Engineer at Pinterest

Fanshu is a software engineer from Pinterest specialized in stream processing platform and tooling that enables easy and fast adoption of Flink.

Ecosystem

DrSquirrel - A self-service diagnosis tool for Flink jobs

 

FelixGessert

Felix Gessert

Baqend

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Felix Gessert

C-Level & VP Management at Baqend

Felix Gessert is the CEO and co-founder of Baqend. During his PhD studies at the University of Hamburg, he developed the core caching technology Baqend's product Speed Kit. Felix is passionate about making the Web faster by turning academic research into real-world solutions.

Use Case

Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors

FrédériqueMittelstaedt

Frédérique Mittelstaedt

Reddit

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Frédérique Mittelstaedt

Tech Leadership at Reddit

Frédérique leads the real-time safety applications team at Reddit. His team keeps Redditors safe by automating the detection and actioning of harmful user behaviour and content in real-time. (We're hiring!)

Combining his experience as a software engineer and training as a scrum master and product owner and in personal, group and team coaching, Frédérique cares about and works towards creating environments that support great technical quality, effective systems and processes and authentic human relationships.

Frédérique lives in London with his partner and his Siberian cat Apollo.

Stateful Functions

Keeping Redditors safe in real-time with Flink Stateful Functions

GaelRenoux

Gaël Renoux

DataDome

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Gaël Renoux

Senior Software Engineer at DataDome

Gaël has been a software developer for almost 20 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 likes refactoring stuff, teaching about Scala, and finding the most elegant way to implement a feature. He spends his free time coding on his Open Source projects, playing Paradox games and reading any science book he can get his hands on.

Use Case

Real-time bot mitigation with machine learning in Flink

GunnarMorling

Gunnar Morling

Red Hat

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Gunnar Morling

Open Source Software Engineer at Red Hat

Gunnar Morling is a software engineer and open-source enthusiast by heart. He is leading the Debezium project, a distributed platform for change data capture. He is a Java Champion, the spec lead for Bean Validation 2.0 (JSR 380) and has founded multiple open source projects such as JfrUnit, Layrry, and MapStruct. Gunnar is an avid blogger (morling.dev) and has spoken at a wide range of conferences like QCon, Java One, Devoxx, JavaZone, and many others. He's based in Hamburg, Germany.

Ecosystem

Open Source Change Data Capture (CDC) with Debezium

Hans-Peter Grahsl

Hans-Peter Grahsl

NETCONOMY

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Hans-Peter Grahsl

Technical Trainer at NETCONOMY

Hans-Peter (@hpgrahsl) is a technical trainer at NETCONOMY. As an independent engineer and consultant he helps customers to build cloud-based or on-premises data architectures using modern technology stacks and NoSQL data stores. He is also an associate lecturer for Software Engineering at CAMPUS 02 and is speaking at tech-related and developer conferences. For his code contributions, conference talks and blog post writing at the intersection of the Apache Kafka and MongoDB ecosystems, Hans-Peter received the Confluent Community Catalyst award twice and became one of the founding members of the MongoDB Champions Program.

Ecosystem

Open Source Change Data Capture (CDC) with Debezium

HengZhang

Heng Zhang

Pinterest

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Heng Zhang

Data Engineer at Pinterest

Heng Zhang is a software engineer focusing on Apache Kafka and Apache Flink at Pinterest. Over the past 2.5 years, he designed, built and operated the logging auditing framework to fundamentally improve the ingestion quality of all the pipelines which in total generate and transport over 1 trillion (1PB) messages every day; he also led the cross-functional effort on improving the reliability and dev velocity of streaming applications written in Apache Flink.

Use Case

NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest

IngoBürk

Ingo Bürk

TNG Technology Consulting GmbH

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Ingo Bürk

Developer at TNG Technology Consulting GmbH

Ingo is a senior consultant at TNG Technology Consulting. He currently works with Ververica where he is part of the team working on both Flink SQL and the SQL integration of the commercial product. He loves working full-stack with Java and TypeScript and studied mathematics in Stuttgart, Germany.

Ecosystem

Using Flink SQL on Ververica Platform

Jan_Brusch

Jan Brusch

neuland - Büro für Informatik

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Jan Brusch

Software Developer at neuland - Büro für Informatik

Software Developer with an interest in Data Engineering in general and Stream Processing in particular.

Stateful Functions

Real Time Fraud Detection with Stateful Functions

JohannesMoser

Johannes Moser

Ververica

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Johannes Moser

Tech Leadership at Ververica

Joe has been leading engineering teams and got hooked on product and big data in his recent career.

Technology Deep Dive

Introduction to Flink in 30 minutes

Joscha_Cepok

Joscha Cepok

neuland - Büro für Informatik

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Joscha Cepok

Developer, Application Security at neuland - Büro für Informatik

Bachelor of Science 2016
Master of Science 2020
Application Security since 2016
E-Commerce developer since 2016

Stateful Functions

Real Time Fraud Detection with Stateful Functions

JowanzaJoseph

Jowanza Joseph

Finicity

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Jowanza Joseph

Tech Architect at Finicity

Jowanza Joseph is Staff Software Engineer at Finicity. Jowanza's career spans a decade where he has spent most of it working with distributed batch and streaming systems. Jowanza is the author of the upcoming O'Reilly book, Mastering Apache Pulsar.

Stateful Functions

Paper Moon: A Comparison of Stateful Functions and Pulsar Functions

JunQin

Jun Qin

Ververica

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Jun Qin

Tech 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 Ph.D. degree in computer science. He specializes in distributed computing and system architecture.

Technology Deep Dive

Getting into Low-Latency Gears with Apache Flink

KasturiChatterjee

Kasturi Chatterjee

Netflix

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Kasturi Chatterjee

Engineering Manager, Realtime Data Infrastructure at Netflix

Hands-on Engineering Manager passionate about Real-Time Streaming Platforms. Loves data - bigger the better. Product driven. Have a Ph.D. in Multimedia Database and Retrievals. Loves reading and long walks.

Ecosystem

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

KonstantinaKontoudi

Konstantina Kontoudi

DataDome

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Konstantina Kontoudi

Data Scientist at DataDome

Konstantina is leading the data science practice at Datadome. She holds a PhD in theoretical physics and has worked as a software developer in the financial industry for 4 years. She then turned into data science and has worked in other industries before joining Datadome. In her spare time she is mentoring data analysis and data science students and reads about the interconnections between physics and machine learning.

Use Case

Real-time bot mitigation with machine learning in Flink

Levin_von_Hollen

Levin von Hollen

neuland - Büro für Informatik

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Levin von Hollen

Software Developer at neuland - Büro für Informatik

Studied Computer Science in Augsburg (Bachelor) and Kiel (Master).
Software Developer at neuland - Büro für Informatik since 2019.

Stateful Functions

Real Time Fraud Detection with Stateful Functions

LuNiu-b&w-1

Lu Niu

Pinterest

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Lu Niu

at Pinterest

Lu Niu is a software engineer at Pinterest working on building Flink as a service@Pinterest. Before Pinterest, he worked at Uber, primarily working on Presto. Lu holds a master's degree from University of Southern California and a bachelor’s degree from Sun Yat-sen University.
 
MaciekBryński

Maciek Bryński

GetInData

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Maciek Bryński

Tech Architect at GetInData

Maciej Bryński - Big Data Architect, Apache Spark Instructor and Contributor. Big fan of other Big Data technologies including Apache Flink, Kafka, Cassandra and many more. In addition to designing Big Data systems and processes on a daily basis, Maciej also possesses hands-on expertise with tools needed to create those systems from scratch.

Use Case

Networks! project - real-time analytics that controls 50% of mobile network in Poland

Martjin Visser

Martijn Visser

Ververica

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Martijn Visser

Product Manager at Ververica

Martijn Visser is Senior Product Manager at Ververica, where he's responsible for the SQL and SDK teams. Before joining Ververica, he worked as Product Lead at ING where he was responsible for the product development of ING's realtime streaming analytics and engagement platform.

Use Case

Only SQL: Empower data analysts end-to-end with Flink SQL

NicoKruber

Nico Kruber

Ververica

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Nico Kruber

Tech Architect at Ververica

Nico Kruber is an Apache Flink committer working as a Solutions Architect at Ververica, helping clients and the open-source community get the most out of Apache Flink. For this, Nico can leverage his in-depth knowledge of Flink, Ververica Platform, and the expertise of his colleagues at Ververica and Alibaba. Nico holds a PhD in computer science from his research on parallel and distributed systems at the Zuse Institute Berlin, where he developed a transactional key-value store.

Technology Deep Dive

Getting into Low-Latency Gears with Apache Flink

OlenaBabenko

Olena Babenko

Aiven.io

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Olena Babenko

Software Engineer at Aiven.io

Olena is a software engineer, formerly a data engineer and an iOS developer. Born in Ukraine, but now lives in Finland. For most of her career, she has worked for big companies such as Yandex and Zalando. Therefore, she understands that the problem of “too much data” does exist. She believes that sharing knowledge is a win-win for both the audience and the speaker.

Use Case

Data Pipeline Lifecycle: SQL Everywhere

PeterHuang

Peter Huang

Uber Technologies Inc

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Peter Huang

Tech Lead Manager at Uber Technologies Inc

Peter Huang is a Tech Lead Manager of the Streaming Analytics Team at Uber. He is leading and managing Flink and its ecosystems inside Uber.

Ecosystem

Building Presto SQL experience on Flink

RafałMałanij

Rafał Małanij

GetInData

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Rafał Małanij

C-Level & VP Management at GetInData

I've been in the IT industry for over 10 years. Starting as a tech person in Deployment Management I moved over time through process management, project management and business development roles. Right now I am building a Team of Cloud Native consultants for Container Solutions Poland office.

I was involved in organisations of the first DevOps Days Warsaw in 2014. Since then I am member of Programme Committee of this conference (and many others). I was involved in setting up PyData Warsaw meetup in 2015, fully responsible for it for the past 2 years. I am chairman of PyData Warsaw Conference (2 editions already) that gathers over 400 Data Science enthusiast.

Personally I am interested in technology with the focus on Cloud Computing, DevOps, Data Science/Machine Learning and Genomics.

Use Case

Networks! project - real-time analytics that controls 50% of mobile network in Poland

 

 

 

RomanGrebennikov

Roman Grebennikov

Findify AB

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Roman Grebennikov

Tech Architect at Findify AB

Roman Grebennikov is a passionate software developer with hands-on experience in machine learning software development and JVM. During last years he has focused on the delivery of functional programming principles and practices to real-world data analysis and information retrieval projects.

Ecosystem

Building an open-source ML feature store with Apache Flink

RoshanNaik

Roshan Naik

Uber

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Roshan Naik

Tech Architect at Uber

Roshan Naik is a technical lead for Uber's Realtime Streaming Analytics Platform, working on challenges of large-scale stream processing. Before joining Uber, Roshan architected Apache Storm 2.0's new high performance execution engine and authored Apache Hive's transactional streaming ingest APIs. He is a committer on Flume, Streamline, and Storm. He is also author of Castor, an open source C++ library that brings the logic paradigm to C++.

Technology Deep Dive

Big Data Processing : Where do we go next ?

SethWiesman

Seth Wiesman

Ververica

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Seth Wiesman

Developer at Ververica

Seth Wiesman is a Committer on Apache Flink working on the Stateful Functions project, Flink's documentation, and the State Processor API. As a Solutions Architect at Ververica, he works with engineering teams inside of various organizations to build the best possible stream processing architecture for their use cases.

Stateful Functions

Stateful Functions: Flexible like a Microservice, Consistent like a Monolith

SundaramAnanthanarayanan

Sundaram Ananthanarayanan

Netflix

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Sundaram Ananthanarayanan

Senior Software Engineer at Netflix

I am an infrastructure engineer with a great passion for performance and scalability. Most recently I have been working on a highly scalable, low-latency stateful task execution system that handles Uber’s CI workloads. Before that, I researched extensively on techniques to guarantee ACID-like properties for large monorepos and built a system utilized by 5k+ developers at Uber.

Ecosystem

Backfill Flink Data Pipelines with Iceberg Connector

Thomas-Weise

Thomas Weise

Apple

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Thomas Weise

Tech Architect at Apple

Thomas is Software Engineer, Streaming Platform Infrastructure at Apple, working with Apache Flink. Earlier he has been at a number of other technology companies in the San Francisco Bay Area, including DataTorrent, where he was a Co-Founder of the Apex project. Thomas is committer and PMC member for Apache Flink and Apache Beam and has contributed to several more of the ASF ecosystem projects.

Technology Deep Dive

Jump start large window computations with Hybrid Source

TillRohrmann

Till Rohrmann

Ververica

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Till Rohrmann

Tech Leadership 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

A Year in Flink: The most important changes of the last versions

TimoWalther

Timo Walther

Ververica

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Timo Walther

Tech Leadership 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 and lead of the SQL team at Ververica. In Flink, he is working on various topics in the Table & SQL ecosystem.

Ecosystem

Flink's Table & DataStream API: A Perfect Symbiosis

TimothyBess

Timothy Bess

Bluechip Financial

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Timothy Bess

Tech Architect at Bluechip Financial

Current work as Software Architect at Bluechip Financial. Have spent the last year redesigning and implementing an improved underwriting process using pure FP Scala + Cats + Flink (with a bit of Haskell) and event driven architecture.

Stateful Functions

Polyglot Actor Model on Flink Stateful Functions

TymurYarosh

Tymur Yarosh

Intellias

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Tymur Yarosh

Tech Leadership at Intellias

Tymur is a software engineer and evangelist of the "Keep it simple, stupid" principle. He recognizes simplicity as the most challenging problem in software engineering and values the opportunities Stateful Functions bring to modern applications.

Stateful Functions

Building payment processing engine with Stateful Functions and Spring Boot

WeiLiu

Wei Liu

Netflix

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Wei Liu

Developer at Netflix

Wei is a Senior Software Engineer on the Real-Time Data Infrastructure team at Netflix, building a general-purpose stream processing pipeline platform to simplify data movement between data stores. Prior to Netflix, Wei worked at Amazon Search, where he built a platform for processing Customer Behavior data.

Ecosystem

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

WolframWingerath

Wolfram Wingerath

Baqend

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Wolfram Wingerath

Distributed Systems Engineer & Data Scientist at Baqend

Wolle is a distributed systems engineer & data scientist at Baqend (https://www.baqend.com/). During his PhD studies, he developed Baqend’s real-time query engine and built a strong background in databases, scalable stream processing, and Big Data technologies. Wolle is a frequent speaker at tech conferences and he has published two books on scalable cloud data management in the last two years.

Use Case

Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors

Xingbo Huang

Xingbo Huang

Alibaba

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Xingbo Huang

Software Engineer at Alibaba

Xingbo Huang is a committer of the Apache Flink project. He is currently a software engineer at Alibaba where he mainly focuses on PyFlink.

Ecosystem

PyFlink: Building Flink applications with Python language

XinranWaibel

Xinran Waibel

Netflix

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Xinran Waibel

Senior Data Engineer at Netflix

Xinran is a Senior Data Engineer on the Personalization Data Engineering team at Netflix.

Ecosystem

Backfill Flink Data Pipelines with Iceberg Connector

 

YaroslavTkachenko

Yaroslav Tkachenko

Shopify

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Yaroslav Tkachenko

Data Engineer at Shopify

Yaroslav Tkachenko is a software engineer interested in distributed systems, microservices, data-intensive applications, functional programming, modern cloud infrastructure, and DevOps practices.

Currently, Yaroslav is a Staff Data Engineer at Shopify, working on data pipelines for merchant-facing data products and analytics.

Previously, he was a Senior Software Engineer and later Software Architect at Activision, where he redesigned and rebuilt the data pipeline for Activision games like Call of Duty franchise.

Use Case

Storing State Forever: Why It Can Be Good For Your Analytics

Zhongting Hu-b&w

Zhongting Hu

Uber

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Zhongting Hu

Tech Lead Manager at Uber

Zhongting Hu is Tech Lead Manager of the Interactive Analytics Team at Uber. He is leading and managing Presto ecosystems inside Uber.