Hamza Bouali

I've built production-oriented data systems at Veolia, including an on-premise multi-tenant data factory using Meltano, dbt, and Podman that ingested 807+ tables and 58M+ rows while reducing processing time by 89%.

At Decathlon, I consolidated data from five internal systems into a 14 GB pipeline and created a self-service dashboard used by nine stakeholders, saving two hours per day. At AiLand, I cleaned and analyzed large-scale social media data and contributed to fine-tuning NLP models for localized social listening in Morocco.

I also build end-to-end personal data products: a Microsoft Fabric medallion pipeline, a real-time Bitcoin ML platform with Kafka and Spark Structured Streaming, and an NYC Green Taxi ETL warehouse automated with Airflow.

I'm completing a Data and Knowledge Engineering degree at ESI, with coursework spanning AI, machine learning, big data, cloud computing, DevOps, and software engineering.