Summary
Oussama Brahem is a senior data engineer and data scientist based in Paris with nine years of experience designing cloud-native data platforms and production ML pipelines. He combines deep academic training (MSc in Data Science and Applied Mathematics) with hands-on expertise in Terraform, GCP (Dataflow, Composer, Scheduler), SQL-based KPI design, and geospatial analytics. Across roles at L'Oréal, TotalEnergies, ENGIE and Air Liquide he has built scalable ingestion and processing systems for large datasets (150TB+), automated workflows, and embedded predictive models into research and product contexts. He excels at turning experimental or IoT data into operational insights, having bridged R&D labs and production environments to accelerate decision-making. Notably, he pairs econometrics and advanced ML with pragmatic DevOps practices—CI/CD, TDD and reproducible pipelines—to ensure models survive at scale. Colleagues rely on him for solving complex data architecture challenges that require both statistical rigor and cloud engineering discipline.
10 years of coding experience
3 years of employment as a software developer
Master's Degree,Modeling of information Systems and decision making with major in Forecasting, Master's Degree,Modeling of information Systems and decision making with major in Forecasting at Institut Supérieur de Gestion de Tunis
Master of science in computer science and intelligent systems with major in Big Data, computer science, Master of science in computer science and intelligent systems with major in Big Data, computer science at Université Paris Dauphine - PSL
French, English, Arabic