Benoît Hanotte
Staff Software Engineer - AI Data
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolBenoît Hanotte is a Staff Software Engineer with 10 years of experience designing, building, and operating large-scale distributed data platforms for machine learning and analytics. Based in London, he has led ML data-platform efforts at Wayve and Criteo, optimizing pipelines that process hundreds of terabytes per day and enabling self-service workflows for research and production teams. He combines deep systems know-how (Spark, Flink, Kafka, Hadoop) with pragmatic operational experience—building monitoring, data-quality tools, and open-source utilities to reduce cost and onboarding time. His background spans full-stack product work and academic research in location analytics, giving him a strong sense for applied data science use cases as well as production-grade engineering.
10 years of coding experience
4 years of employment as a software developer
Master of Computer Science, Computer Science, Master, Master of Computer Science, Computer Science, Master at Technische Universität BerlinEngineering Degree and Master degree, General engineering, Engineering Degree and Master degree, General engineering at Ecole centrale de Lyon
French, English, German
Github Skills (92)
python10
databases10
hadoop10
bigtable10
etl10
automation10
mlops10
parquet10
orchestration10
trino10
avro10
sql-query10
prestodb10
data-engineering10
big-data10
Programming languages (4)
Github contributions (5)
criteo/babar
Dec 2017 - Sep 2018
Profiler for large-scale distributed java applications (Spark, Scalding, MapReduce, Hive,...) on YARN.
Contributions:132 commits, 14 PRs, 31 pushes in 8 months
large-scale-distributedyarnspark-applicationsscalebig-data
BenoitHanotte/flink
Jul 2019 - Jan 2020
Mirror of Apache Flink
Contributions:32 pushes, 7 branches in 5 months
flinkapachebig-dataapache-flinkjava
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