Summary
Belkacem Lahouel is a software and data engineer with 11 years of experience building and operating large-scale data pipelines that routinely handle petabytes, combining hands-on engineering with product and team leadership. He has shipped end-to-end solutions from data collection (APIs, scraping, tag calls) through storage (S3/Glacier/HDFS) and batch/stream processing (Spark/Scala/Python, Kafka) to analytics and dashboards (BigQuery, Redshift, Grafana/Kibana). His background spans backend development (C#, Java, Python), API design and migration projects at scale, and creating revenue-driving features while at Criteo and Rakuten. As a manager at URW he bridged data, product and business teams to redesign ingestion architectures and migrate platforms to GCP, and he currently consults on distributed systems and medium-latency constraints. He also teaches big-data courses and mentors students on production patterns (Airflow, Spark, GCP), signaling a rare mix of production-grade experience and pedagogy. Notably, he has deep operational ownership—running pipelines that processed up to ~1PB daily—and a track record of turning technical debt projects into new product capabilities.
11 years of coding experience
8 years of employment as a software developer
MSc in Computer Science, AI and Video Games, Computer Science, MSc in Computer Science, AI and Video Games, Computer Science at Université du Québec à Chicoutimi
MSc in Computer Science, Imagery and Virtual Reality, Mathematics and Computer Science, MSc in Computer Science, Imagery and Virtual Reality, Mathematics and Computer Science at UTBM
French, English, German