Summary
Haroune Mohammedi is a Senior Data Engineer with 9 years of experience designing and shipping large-scale, cost-efficient data platforms, currently driving high-frequency energy data pipelines at ENGIE using Databricks and PySpark. He has a track record of transforming legacy PL/SQL ETL into distributed Spark jobs that cut runtimes from weeks to hours and materially reduced compute costs. Comfortable across the full lifecycle—from functional analysis and architecture to deployment and production support—he blends strong domain knowledge in energy with a product-minded approach honed while building an MLOps platform. His background in Scala, Akka, Kafka and event-driven systems complements his expertise in Spark performance tuning and scalable architecture. Curious and pragmatic, he’s open to exploring Rust or Go for new challenges while staying focused on delivering measurable business impact.
9 years of coding experience
5 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Université des Sciences et de la Technologie 'Houari Boumediène'