I design and deploy end-to-end data pipelines using Kafka, Pub/Sub, Airflow, and IBM MQ. From ingestion to transformation and delivery, I build systems that handle millions of events per day with built-in monitoring, error handling, and automated recovery. Whether it's real-time streaming or scheduled batch processing, I deliver production-grade pipelines that scale with your business.

I migrate legacy data systems — Teradata, Oracle, on-premise warehouses — to GCP and BigQuery. My approach covers the full migration lifecycle: assessment, schema mapping, data validation, parallel running, and cutover. At Bouygues Telecom, I led the migration of 16 TB/day of web application logs. I ensure zero data loss, minimal downtime, and measurable cost savings post-migration.

I architect and optimize Data Warehouses, Data Lakes, and DataMarts on BigQuery and GCP. This includes data modeling, partitioning and clustering strategies, query optimization, and cost management. I also build KPI dashboards with Looker to give stakeholders real-time visibility into business metrics — from pricing analytics to operational monitoring.

I provide strategic guidance on data architecture decisions, ETL process optimization, and team upskilling. This includes code reviews, best practices workshops, and hands-on mentoring for junior and mid-level data engineers. I help enterprise teams establish standards for data quality, testing, documentation, and CI/CD for data pipelines.