Developed and delivered standardized Python project templates and CI/CD automation for seven DataForGood repositories, including dataforgoodfr/13_brigade_coupes_rases and dataforgoodfr/13_pollution_eau. Focused on scalable project scaffolding, the work introduced Poetry-based dependency management, pre-commit hooks, and Tox testing frameworks to ensure consistent development environments. Each repository received a structured setup with LICENSE, README, and .gitignore files, along with GitHub Actions workflows to automate onboarding and governance. Leveraging Python, YAML, and Shell scripting, the approach streamlined project initialization and collaboration, enabling rapid onboarding for new contributors while maintaining code quality and organizational standards across multiple repositories.