
Contributed backend features to the dataforgoodfr/13_brigade_coupes_rases repository, focusing on structured data management and workflow improvements. Developed and integrated RESTful API endpoints using FastAPI and SQLAlchemy, enabling CRUD operations for clear cuts, users, and departments, and later introduced a dedicated system for managing clear-cut report forms. Designed new database tables and schemas with Alembic migrations, ensuring data consistency and supporting efficient data capture. Leveraged Docker for environment management and Pydantic for data validation, resulting in robust backend services. The work emphasized maintainable architecture and seamless integration with existing workflows, laying a foundation for enhanced reporting and analytics capabilities.
In May 2025, delivered the Clear-Cut Report Forms Management feature for dataforgoodfr/13_brigade_coupes_rases, introducing a dedicated data model, API endpoints, and service layer to create, retrieve, and list clear-cut report forms. Implemented a new database table clear_cut_report_forms with associated schemas and business logic, enabling structured data capture and improved data consistency. The feature lays groundwork for enhanced reporting and analytics and integrates with existing workflows.
In May 2025, delivered the Clear-Cut Report Forms Management feature for dataforgoodfr/13_brigade_coupes_rases, introducing a dedicated data model, API endpoints, and service layer to create, retrieve, and list clear-cut report forms. Implemented a new database table clear_cut_report_forms with associated schemas and business logic, enabling structured data capture and improved data consistency. The feature lays groundwork for enhanced reporting and analytics and integrates with existing workflows.
March 2025 monthly summary focusing on backend API delivery and overall impact.
March 2025 monthly summary focusing on backend API delivery and overall impact.

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