Senior Data Engineer at Netflix
Shirya works on the Data engineering team for Personalization. Which, among other things, delivers recommendations made for each user. The team is responsible for the data that goes into training and scoring of the various machine learning models that power the Netflix homepage. They have been working on moving some of our core datasets from being processed in a once-a-day daily batch ETL to being processed in near-real time using Apache Flink. Before Netflix, she was at Walmart Labs, where she helped build and architect the new generation item-setup, moving from batch processing to stream. They used Storm-Kafka to enable a micro-services architecture that can allow for products to be updated near real-time as opposed to once-a-day update on the legacy framework.
Group Architect at Microsoft
Avihai is an architect in the Microsoft Cloud App Security group, where he leads the development of strategic infrastructure changes and major product tracks. His main focus is designing and building applications at mass scale.
Open Source Strategist at Europace AG
Isabel Drost-Fromm is Open Source Strategist at Europace AG Germany. She’s a member of the Apache Software Foundation, co-founder of Apache Mahout and mentored several incubating projects. Isabel is interested in all things FOSS, search and text mining with a decent machine learning background. True to the nature of people living in Berlin she loves having friends fly in for a brief visit – as a result she co-founded and is still one of the creative heads behind Berlin Buzzwords, a tech conference on all things search, scale and storage.
Manager at SK Telecom
Dongwon Kim is a big data architect at SK telecom. During his post-doctoral work, he was fascinated by the internal architecture of Flink and gave a talk titled “a comparative performance evaluation of Flink” at Flink Forward 2015. He introduces Flink to SK telecom, SK energy, and SK hynix to fulfill various needs for real-time streaming processing from the companies. Last year at Flink Forward 2017 Berlin, he shared his experience of using Flink in building a solution for Predictive Maintenance. He recently has been adopting Flink to calculate driving scores of millions of users in real time.
Tech Team Lead at Ververica
Aljoscha Krettek is a PMC member at Apache Flink and co-founder and software engineer at “Ververica”:https://www.ververica.com. He studied Computer Science at TU Berlin, he has worked at IBM Germany and at the IBM Almaden Research Center in San Jose. In Flink, Aljoscha is mainly working on the Streaming API. The most recent additions the to the windowing and state APIs where designed and implemented by him. Aljoscha has spoken at Hadoop Summit, Flink Forward and several meet ups about stream processing and Apache Flink before.
A Year in Flink
Principal Engineer at Amazon
Suneel is a member of Apache Software Foundation and is a PMC member on Apache OpenNLP, Apache Mahout and Apache Streams. He has presented in the past at Hadoop Summit, Apache Big Data, Flink Forward, Berlin Buzzwords, Big Data Tech Warsaw. He is a Principal Engineer at Amazon Web Services.
Software Engineer at Yelp
Vipul Singh is a software engineer at Yelp Inc. He is a part of Distributed Systems Team where he works on developing and maintaining stream processing applications. His current focus is on building data connectors, enabling creation of a data lake from schematized streams, and developing next-gen stream processing infrastructure here at Yelp.
Software Engineer at Lyft
Thomas is Software Engineer, Streaming Platform at Lyft, 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 Apache Apex PMC Chair, committer to Apache Beam and has contributed to several more of the ASF ecosystem projects. He has also presented at international big data conferences and is author of the book “Learning Apache Apex”.
Senior Software Engineer at Netflix
Steven Wu is a software engineer at Netflix. He is working on real-time data infrastructure that powers massive data ingestion pipeline and stream processing platform. Previously he was working on cloud platform that builds the foundation for Netflix’s cloud-native microservice architecture. He is passionate about building scalable distributed system and empowering people with data.