Etienne Chauchot
Principal Software Engineer at The Apache Software Foundation
Nantes, Pays de la Loire, France
Summary
🤩
Rockstar🎓
Top SchoolEtienne Chauchot is a Principal Software Engineer with 11+ years building large-scale data platforms across retail, finance, insurance and music rights management, now working with Ververica, the original creators of Apache Flink. He specializes in real-time and batch Big Data systems—Apache Flink, Beam, Spark, Cassandra and Elasticsearch—and has driven streaming adoption, checkpointing resilience and per-operator watermarking in production products. A long-time Apache contributor, Etienne is a Beam committer and PMC member, an ASF member, and has notable Flink contributions such as async checkpoint cleaning and API refinements. He combines hands-on engineering with architectural leadership, having led platform designs that processed billions of music titles and improved payments accuracy for rights holders. Comfortable moving between open-source projects and product teams, he often translates research-grade ideas into pragmatic, performant implementations. Based in Nantes, France, he quietly balances deep systems expertise with a penchant for polishing docs and catching tricky edge-case tests that other teams miss.
11 years of coding experience
20 years of employment as a software developer
EPITA: Ecole d'Ingénieurs en Informatique
Portuguese, English, French, Spanish
Stackoverflow
11reputation
3kreached
2answers
0questions
Github Skills (14)
javas10
big-data10
flink-sql10
apache-flink10
java10
scala10
apache-spark6
elasticsearch6
google-cloud-dataflow6
apache-beam6
testing6
api-design6
data-structures4
data-structure4
Programming languages (5)
Github contributions (5)
apache/flink
Apr 2020 - Jul 2022
Apache Flink
Role in this project:
Back-end Developer
Back-end DeveloperContributions:273 reviews, 98 commits, 68 PRs in 2 years 3 months
Contributions summary:Etienne contributed to the Apache Flink project by deprecating several `keyBy` and `partitionCustom` methods in the Java and Scala DataStream APIs that did not use KeySelector. The user also introduced a CheckpointsCleaner class for asynchronous checkpoint cleaning and introduced a test case to check for an edge case with too many checkpoints. Additionally, the user fixed some documentation related to the `groupBy` method, and made code style changes to use non-null character filters in the metrics.
apache-flinkscalajavabig-dataflink
ageron/beam
Nov 2018 - Jul 2019
Apache Beam
Contributions:163 commits in 8 months
beamapachebig-datajavaapache-beam
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