Naim Lafnoune developed an automated production database backup and synchronization system for the dataforgoodfr/13_pollution_eau repository. Leveraging Python and YAML within a CI/CD pipeline, Naim designed a workflow that downloads the production database, builds it, and uploads snapshots to Scaleway object storage, enhancing data durability and disaster recovery readiness. The approach reduced manual maintenance by automating routine backup tasks and clarified data access procedures through updated documentation in the README. The work demonstrated practical application of DevOps, cloud storage integration, and database management, delivering a focused solution that improved operational reliability without introducing unnecessary complexity or addressing unrelated bugs.