Benoit Pimpaud is a Solutions & Data Engineer with eight years of experience building data-driven products and operational pipelines across media, retail, sports, and streaming industries. He has moved from hands-on data science roles at Maisons du Monde and Olympique de Marseille to Data Ops at Deezer and now focuses on solutions at Kestra, bridging engineering, tooling, and applied analytics. Comfortable with the full lifecycle from model reverse-engineering to production data workflows, he combines quantitative rigor with pragmatic implementation. Benoit writes and curates technical content (From An Engineer Sight newsletter and Medium), signaling a habit of reflecting on engineering craft beyond day-to-day delivery. Based near Paris, he blends academic training in data science with practical experience in both product and operational contexts. Colleagues know him for turning complex data problems into reliable, maintainable solutions that scale.
9 years of coding experience
6 years of employment as a software developer
DU BigData@Paris-Seine, Data Science, DU BigData@Paris-Seine, Data Science at Université de Cergy-Pontoise
Data-Science, Data-Science at Ecole internationale des Sciences du Traitement de l'Information
Baccalauréat Scientifique, Baccalauréat Scientifique at Lycée Camille Claudel
Contributions:5 reviews, 78 commits, 5 PRs in 1 year 11 months
docker-imagesworkspacedocker-container
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