Summary
Sébastien Haentjens is a data engineer with six years of experience building and operating production data pipelines at Datadog, specializing in Python (Luigi), Spark/Scala, AWS (S3, Athena, Redshift, EMR) and Kubernetes. He designs, tests and monitors datasets that power visualizations and data-science models, with hands-on experience in Looker, Metabase and PostgreSQL and a focus on reliability through unit and end-to-end testing. At Datadog he worked on revenue metering APIs, optimized job runtimes, and created tooling to compare job outputs across branches—demonstrating both operational rigor and a propensity for pragmatic engineering tools. A CentraleSupélec graduate, he pairs strong technical skills with leadership experience running large student organizations and coordinating complex events, which informs his collaborative approach to cross-functional projects. Based in Paris, he brings a blend of production-first engineering and process-oriented thinking useful for scaling analytics infrastructure.
6 years of coding experience
6 years of employment as a software developer
Supélec Engineer, Computer Systems, Supélec Engineer, Computer Systems at CentraleSupélec