
Developed a reproducible Docker-based development and testing environment for the BRP-API/brp-api-gezag repository, focusing on enabling consistent local development and automated testing. The work involved creating a Dockerfile, CI configuration, initialization scripts, and SQL seed data to provision a containerized PostgreSQL database. Integrated CI/CD pipelines ensured automated provisioning and validation, while dependency synchronization with BRP-API/brp-shared maintained cross-repository alignment. By delivering a stable, on-demand environment, the project reduced onboarding time and minimized environment drift. The implementation demonstrated skills in Docker, SQL, and database management, providing a reliable foundation for faster iteration and improved testing reliability within the repository.
May 2026: Delivered a reproducible Docker-based development and testing environment for BRP-API (gezag). Implemented a containerized PostgreSQL environment with a Dockerfile, CI configuration, initialization scripts, and SQL seed data to enable consistent local development and automated tests. The work included syncing met-source dependencies from BRP-API/brp-shared to ensure alignment across repos. No major bugs fixed this period. Overall, the changes provide a stable, on-demand dev/test environment, shorten onboarding, and improve testing reliability. Technologies demonstrated include Docker, PostgreSQL, containerized environments, CI/CD, and SQL seeding, with cross-repo collaboration.
May 2026: Delivered a reproducible Docker-based development and testing environment for BRP-API (gezag). Implemented a containerized PostgreSQL environment with a Dockerfile, CI configuration, initialization scripts, and SQL seed data to enable consistent local development and automated tests. The work included syncing met-source dependencies from BRP-API/brp-shared to ensure alignment across repos. No major bugs fixed this period. Overall, the changes provide a stable, on-demand dev/test environment, shorten onboarding, and improve testing reliability. Technologies demonstrated include Docker, PostgreSQL, containerized environments, CI/CD, and SQL seeding, with cross-repo collaboration.

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