Antoine Gélin

– Full rebuild of an accounttech/fintech's data platform – replaced a fragile ETL setup with a Modern Data Stack, from raw ingestion to BI dashboards. – Rewrote ingestion as modular Python sinks writing to S3 raw, containerized and deployed on AWS Fargate. – Built the dbt layer on Redshift Serverless – staging models, marts, quality tests (freshness, constraints) with Slack alerts. – Wrote technical documentation and trained the BI team to run dbt independently.

– Java/Spark pipelines on a production system running 24/7 with large data volumes — development, optimization, and incident support. – Built and maintained distributed ETL pipelines in Java & Spark (ingestion, transformation, aggregation at scale). – Performance tuning on Hive and SQL Server workloads in production. – On-call production support with dev, infra and security teams. – Code reviews, CI/CD with Jenkins, Git.

– First role in data engineering – Java development and Big Data processing in a demanding environment. – Built Java services on a business rules management system (IBM ODM), translating functional specifications into production code. Data processing and analysis on a distributed Apache Spark platform. Agile/Scrum with TDD practices and close collaboration with business stakeholders.

– Analyse de données de la satisfaction client