Summary
Benjamin Dubreu is a Lead Data Engineer based in Paris with eight years of experience designing production data pipelines and applied ML solutions across finance, retail, energy, and public sectors. He has led initiatives that range from real-time Spark Streaming ingestion and Azure-based orchestration to risk and fraud detection models that uncovered over €1M in potential fraud and forecasting systems that maintained >90% reliability during the COVID crisis. As a trainer at Data Upskilling he has helped upskill 900 people in tools like Python, Spark, Airflow and SQL, combining hands-on engineering with coaching and soft-skill development. Known for pragmatic feature engineering and robust data quality monitoring, he builds end-to-end systems that prioritize observability and operational alerts. Fluent in both data science and engineering disciplines, he excels at translating complex analytic requirements into maintainable pipelines and measurable business impact.
8 years of coding experience
5 years of employment as a software developer