Berlin 2019

Nikolas is a software engineer on Uber's Driving Safety team, where he works on using sensor/context-derived insights to make inferences about events that Uber drivers experience and acting on this knowledge accordingly. Previously, Nikolas studied Mathematics and Statistics at the University of Chicago.

Julia Bennett is a member of the data engineering team for personalization at Netflix that delivers recommendations made for each user. The team is responsible for building large scale data processing used in training and scoring of the various machine learning models that power the Netflix UI experience. They have recently been working on moving some of the company’s core datasets from being processed in a once-a-day daily batch ETL to being processed in near real time using Apache Flink. Before joining Netflix, Julia completed her PhD in mathematics from The University of Texas At Austin.

Dr. Steffen Hausmann is a Specialist Solutions Architect for Analytics with Amazon Web Services. He has a strong background in the area of complex event and stream processing and supports customers on their cloud journey. In his spare time, he likes hiking in the nearby mountains.

Experienced Software Engineer with 15 years of professional experience building scalable, distributed, high-performance web applications, backend services and big data applications. Experience working with high scale systems like Apple's IdMS and Ooyala's recommendation engine.

Languages - Java, Scala, Python

Big Data - Apache Spark, HBase, Elastic Search, Couchbase NoSQL, Cassandra, Flink

Machine Learning - Content and Collaborative filtering algorithms for video recommendations based on Spark

Aaron Levin is a mathematician-turned-radio-DJ-turned software engineer working on Stripe’s real-time data team (✨Streaming✨). Aaron used to live in Berlin, but now lives in Canada’s Berlin (Montréal - not to be mistaken with Berlin, Ontario).

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.

Writing code and tinkering with computers for a living, writing code and tinkering with computers for fun. Still uncertain whether he’s a Software Engineer, a Systems Engineer or a Software Reliability Engineer, keeps telling people he’s one of the computer guys at Yelp. Mainly interested in distributed systems and stream processing, has a taste for open-source software.

Reuven Lax is a senior staff software engineer at Google. He has been at Google since 2006 and involved in designing and building Google's streaming data processing infrastructure since 2008, serving as technical lead for MillWheel and leading development of Dataflow's streaming engine.