Lucas Brutschy
Staff Software Engineer Kafka Committer PMC at Confluent
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolLucas Brutschy is a Staff Software Engineer and Apache Kafka committer based in Berlin with 11 years of experience building robust distributed systems and stream-processing platforms. He combines deep academic training (PhD from ETH Zurich) with hands-on engineering at Confluent and HERE, shaping Kafka Streams, KSQL, and novel compact map data formats for mobile. His contributions to Apache Kafka and Confluent’s KSQL include threading and state-management fixes, rebalance protocol work, client API alignments, and critical merges that improved concurrency, protobuf handling, and test coverage. Comfortable across research and production, he has a track record of turning program-analysis insights into practical tooling and large-scale CI/CD for cloud services. Notably, he moved from research on eventual consistency and static analysis to directly influencing one of the most widely used streaming platforms in production.
11 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at RWTH Aachen UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
English, German, French
Stackoverflow
665reputation
30kreached
26answers
1question
Github Skills (23)
apidoc10
testing10
kafka-streams10
java10
javas10
api10
ksqldb10
state-management10
error-handling10
stream-processing10
apache-kafka10
protobuffer10
protobuf10
multithreading9
kafka9
Programming languages (10)
Github contributions (5)
apache/kafka
Sep 2022 - Jan 2023
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:852 reviews, 30 commits, 284 PRs in 4 months
Contributions summary:Lucas primarily contributed to the Apache Kafka codebase, focusing on improvements within the Streams API, particularly around state management, task assignment, and the handling of potential exceptions during the processing of records. Their work included bug fixes related to incorrect pauses and busy polling, as well as the correct propagation of exceptions. The user also implemented the necessary changes to ensure that the client is aligned with the new consumer and added a new function to Admin API. They also added a new set of internal data structures for configuring topologies.
apache-kafkakafka-consumerapachescalakafka
confluentinc/ksql
Oct 2022 - Nov 2022
The database purpose-built for stream processing applications.
Role in this project:Back-end Developer
Back-end DeveloperContributions:63 reviews, 29 commits, 45 PRs in 27 days
Contributions summary:Lucas primarily focused on merging code branches, specifically integrating changes from older versions (6.1.x and 6.2.x) into newer branches (6.2.x and 7.0.x/7.1.x/7.2.x/7.3.x). These merges often involved updates to client-side API code and integration tests, suggesting work on improving the overall client library and its interaction with the KSQL database. The code changes also included adjustments to handle Protobuf nullability, improve test coverage, and address concurrency issues in pull query processing.
materialized-viewsstream-processingstreaming-queriesksqldbsql
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