September 2025: RSA token signing migration completed in IFRCGo/go-api, introducing RSA private/public key settings and migrating existing tokens to RSA-signed equivalents to ensure only RSA-signed tokens are valid for external usage. The change enhances security posture for external integrations with RSA-based trust chain, with minimal user impact.

June 2025 monthly summary for IFRCGo/pystac-monty focusing on stabilizing the PDC test suite and improving GeoJSON asset handling. Key changes delivered include stabilizing test fixtures to reduce flakiness and refactoring the PDC data source to store only the geojson_path and treat GeoJSON as an asset with the correct media type. These changes improve test reliability, data processing efficiency, and asset integrity, enabling more robust geospatial workflows and faster iteration cycles.

April 2025 monthly summary focusing on business value and technical achievements across two repositories. Key data-pipeline improvements delivered, with emphasis on PDC-related workflows, data integrity, and maintainability.

March 2025 monthly performance summary for IFRCGo data pipelines and STAC tooling. Delivered end-to-end data integration, enhanced data traceability, and robust validation across two repositories, enabling reliable hazard data delivery and improved data governance.

February 2025 performance summary for IFRCGo/montandon-etl. Delivered major ETL enhancements to improve data timeliness, reliability, and scalability of hazard and event data pipelines. Implemented asynchronous data extraction workflows, optimized data retrieval, and integrated hazard data into the existing ETL with granular processing and scheduled daily imports.

Concise monthly summary for January 2025 focusing on business value and technical achievements across go-api and montandon-etl. Delivered cross-repo enhancements to improve budgeting visibility, disaster data capture, and scalable data pipelines, enabling more accurate budgeting, richer risk data, and reliable data processing workflows. Set foundation for data-driven decision making and operational efficiency through validated data models, migrations, and Celery-based ETL orchestration.