Program Committee

Program Committee Chair

Fabian is a committer and PMC member of the Apache Flink® project and has been contributing to Flink since its earliest days. Fabian is a co-founder of 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 currently writing a book about “Stream Processing with Apache Flink®”.

Julia Bennett is a data engineer at Netflix, where she works on the personalization team that creates recommendations for each member. The team is responsible for the data used to train and score the various machine learning models that power Netflix personalization, using Flink to deliver some of the company's core datasets in near real-time at massive scale. Before joining Netflix, Julia completed her PhD in mathematics from The University of Texas At Austin.

Enrico works as a Tech Lead of the Data Infrastructure at Yelp. He’s been working on real-time processing systems since 2013. Enrico loves designing reliable large scale software solutions for stream processing that are provided as a self-serve platform to application developers. At Yelp, Enrico has led the teams that build and maintain the Kafka and Flink deployments that power the Data Pipeline, moving and processing in real-time hundreds of terabytes of data and tens of billions of messages every day. Enrico frequently speaks at conferences and meetups about Apache Flink, Apache Kafka and Apache Beam.

Sijie Guo is the founder and CEO of StreamNative. StreamNative is a data infrastructure startup offering a cloud native event streaming platform based on Apache Pulsar for enterprises. Previously, he was the tech lead for the Messaging Group at Twitter and worked on push notification infrastructure at Yahoo. He is also the VP of Apache BookKeeper and PMC Member of Apache Pulsar.

Ryan Nienhuis is a technical product manager who helps customers use the technology to deliver business value. He has created and managed cloud services products focused on analytics. Ryan has worked on the Amazon Kinesis team at AWS for the past five years, where he defines products that make it easier for customers to work with real-time, streaming data in the cloud. Previously, Ryan worked at Deloitte Consulting, helping customers in banking and insurance solve their data architecture and real-time processing problems. Ryan holds a BE from Virginia Tech.

 Jiangjie (Becket) is a software engineer at Alibaba where he mostly focuses on developing Flink and its ecosystem. Prior to Alibaba, Becket worked at LinkedIn to build streams infrastructures around Apache Kafka. Becket is a PMC member of Apache Flink and Apache Kafka.

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.

Caito is a software engineer who first encountered Apache Flink while working at New Relic, building their first Flink service in production - a new customer usage data pipeline. She has presented twice at Flink Forward Berlin, in 2018 and 2019.

Sherin is a Software Engineer at Lyft. In her career spanning 8 years, she has worked on most parts of the tech stack, but enjoys the challenges in Data Science and Machine Learning the most. Most recently she has been focussed on building products that would facilitate advances in Artificial Intelligence and Machine Learning through Streaming.
She is passionate about getting more people, especially women, interested in the field of data and has been trying her best to share her work with the community through tech talks and panel discussions. Most recently she gave a talk about Flink Streaming, at Connect 2019(a Women Who Code event) in San Francisco.
In her free time she loves to read and paint. She is also the president of the Russian Hill book club based in San Francisco and loves to organize events for her local library.