Rayhane Belaroussi is a Data Engineer with a decade of experience and 5+ years focused on building scalable, cost-effective data pipelines across Databricks and Palantir Foundry. A recovering Data Scientist, he blends ML intuition with production engineering using PySpark, SQL, and dbt to prioritize data quality, maintainability, and user trust. He has delivered data platforms for clients including Airbus Skywise, the World Food Programme, and SAUR while working at Capgemini and Business & Decision. Based in Toulouse, he brings an uncommon mix of analytics background and pragmatic pipeline design that ensures models have reliable, auditable inputs.
10 years of coding experience
5 years of employment as a software developer
Master's degree MIAGE - Innovative Information Systems, Master's degree MIAGE - Innovative Information Systems at Université Toulouse 1 Capitole
Bachelor's degree Computer Science and Information Systems, Bachelor's degree Computer Science and Information Systems at Sciences and Technology University of Oran - Mohamed Boudiaf (USTO-MB)
Contributions:32 commits, 25 pushes, 1 branch in 2 months
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