
Amanji enhanced the bcgov/lear repository by delivering foundational upgrades to its Digital Credentials System, focusing on scalable credential management for business users. Using Python and SQL, Amanji refactored the queue service to support multiple credentials per business, enabling more flexible revocation and replacement workflows. The work included database schema and model updates, improved NATS configuration, and expanded helper and processor logic to handle credential iteration. Alembic migrations ensured smooth database transitions, while updated tests validated the new flows. This engineering effort established a robust backend structure, supporting future integrations and feature growth in digital credential and business card management.

April 2025: Delivered foundational Digital Credentials System upgrades in bcgov/lear, establishing multi-credential support and stronger credential management for business users. Changes include database schema and model refinements, queue service refactor to handle multiple credentials per business, improved NATS configuration, and updated helpers/processors with tests to support revocation or replacement workflows. These enhancements enable scalable credential management and smoother downstream integrations.
April 2025: Delivered foundational Digital Credentials System upgrades in bcgov/lear, establishing multi-credential support and stronger credential management for business users. Changes include database schema and model refinements, queue service refactor to handle multiple credentials per business, improved NATS configuration, and updated helpers/processors with tests to support revocation or replacement workflows. These enhancements enable scalable credential management and smoother downstream integrations.
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