Streaming Buzzwords: Stream Processing Meetup, Berlin Buzzwords edition

Join us on Tuesday 11th June for an evening of talks and conversations about Stream Processing with a special Berlin Buzzwords edition. We're hosted by the good people at SumUp (with amazing views over the city). Space is limited so sign up today! Doors close at 6:30pm so please arrive in good time to access the event.

AGENDA
Arrive from 17:45 and grab a drink 🍺🍷🍹🧃🥤
18:20-18:30 Welcome from Johannes Schaback (CTO, SumUp)
18:30-18:50 How to Become a Streaming Data Engineer - Tomas Neubauer (CTO, Quix)
19:00-19:20 Streaming Doesn't Have To Be Hard - Chloe He (Senior Software Engineer, Voltron Data)
19:20-19:40 Taming the Cost of Kafka Workloads In the Cloud - Stefan Sprenger (Staff Software Engineer, Confluent)

From 19:45 Network opportunities with free pizza and drinks 🍕

SPEAKERS
Tomas Neubauer (CTO, Quix)
Tomas Neubauer is co-founder and CTO at Quix, the company behind Quix Streams. He works as a technical authority for the engineering team and is responsible for the direction of the company across the full technical stack. He was previously the technical lead at McLaren, where he led architecture uplift for Formula 1 racing real-time telemetry acquisition. He later led platform development outside motorsport, reusing the know-how he gained from racing.

Chloe He (Senior Software Engineer, Voltron Data)
Chloe has a background in data science and started working on streaming systems when she was a Founding Engineer at Claypot AI, a startup tackling challenges in real-time machine learning. She led the infrastructure development of an open-source real-time feature engineering platform and worked on the translating and optimizing streaming workloads that served low-latency use cases. Later, she brought her streaming expertise to Voltron Data, where she now leads the development of streaming technologies.

Stefan Sprenger (Staff Software Engineer, Confluent)
Stefan works as a staff software engineer at Confluent where he builds developer tooling for Kafka and other data streaming technologies. Previously, he co-founded a startup in the data streaming space, worked as a data engineer in the financial industry, and researched database systems on modern hardware. He loves Neapolitan pizza.