Worked on the pass-culture/data-gcp and pass-culture-main repositories, focusing on backend development and data engineering using Python and SQLAlchemy. Delivered a temporary machine learning storage configuration, then refined storage path management to align with evolving data-gcp policies, improving artifact organization and reducing misconfiguration risks. Later, introduced an OfferQuality table in pass-culture-main, integrating it with the Offer model to enable persistent tracking of offer quality metrics. Updated ETL cleaning routines to ensure data integrity and laid the foundation for metrics-driven analytics and reporting. The work emphasized robust configuration management, database design, and clear, maintainable solutions for evolving data needs.