February 2026 monthly summary for DEFRA/epr-backend focused on strengthening data integrity, security of type definitions, and scalable command processing. Delivered three integrated improvements in the backend that drive reliability, automation, and business value.

January 2026 performance summary: Delivered notable features across three DEFRA repos focusing on data handling, testability, security, and backend capabilities. Major bugs fixed include handling expired authentication tokens and migrating to Cognito-based authorization, enhancing overall security reliability. Key features delivered: Packaging Data Handling Enhancements (pagination for packaging notes; SavePrnDetailsRequest extensions for PackagingProducer and ProducerAgency with country-based mapping), RREPW Test Infrastructure (stubbed data service for offline testing with configurable org ID), Security and Auth Improvements (token caching/refresh; Cognito-based authorization handler), common-backend Data Model Enhancement (ProducerAgency and PackagingProducer fields with validation), and Waste Balance Retrieval Endpoint by Accreditation IDs (backend). Overall impact: improved data accuracy and reliability, better testability, stronger security posture, and smoother client integrations. Technologies/skills demonstrated: pagination, DTO mapping, test doubles, configurable stubs, Cognito integration, token management, code quality compliance, and input validation.

During December 2025, delivered cross-repo enhancements strengthening data integration, reliability, and security across DEFRA EPR components, with measurable business value in data accuracy, automated workflows, and developer efficiency. Key improvements spanned Azure-based waste-organisation processing, PRN management integrations, CDP authentication, and CI/documentation hygiene, underpinned by a new producer data endpoint.

November 2025 (2025-11) performance summary for the DEFRA codebase, with duos of work in epr-calculator-service and epr-prn-integration-function. The month focused on architectural modernization, CI/CD hygiene, local development enablement, security improvements, and API/test expansion to strengthen reliability and business value. Key features delivered: - Data Layer Architectural Overhaul: Removed the Data layer from DEFRA/epr-calculator-service to enable a new data handling approach, reducing technical debt and aligning with the strategic data strategy. (commits: 1e1a87ee8d2b97a862334c9616eaa456d3d2a5e3; dd65998e68b6175961fe1a949585fc7963d1d858) - CI/CD and Packaging Cleanup: Streamlined CI by removing unused DataFolder and cleaned packaging by deleting an outdated nupkg, improving consistency with the current package structure. (commits: b3b0ebab10d5e869d802e3f1a907a43b5df6299e; b54efb1f713ba784c619dfe375c4c84872926397) - Azure Functions in Docker for local development: Adds support for running Azure Functions inside Docker, enabling local development and testing with mock services for Azure integrations. (commit: 50908916b6e4126d904395eff439654af208a9a8) - NPWD/Producers API integration and test suite: Adds a new API endpoint to retrieve updated producers and expands the test suite with integration and unit tests for producer-related APIs and endpoints. (commits include: 09ab1256f3bf5ba969c0ddc905e685577092b2cc; 5eb8dbc48c6059fa38d8e2ed1084dc1bf9e6fe5c; 1ed65b42e0e516f9fa263022aa8ff6623aa59970; f70c6433ba3c9dff9b0964fb7454c803aba71aa0; 3e90f5f398feb3435ce9bf887001291c8ce1e18a; 0cab1b2040b0253d25088366282fb5927df3eaab) Major bugs fixed: - CI security gating: Reinstate gitleaks warnings in CI to detect and flag sensitive information, strengthening security gating. (commit: 0549eb5a4b891932e563dea9bbb7fdf485bd4f7b) - Packaging hygiene: Removed stale artifacts to prevent accidental deployment of outdated packages and reduce drift. (implied by packaging cleanup commits above) Overall impact and accomplishments: - Accelerated development cycles through Docker-based local Azure Functions testing and mock services, enabling faster iteration with lower environment friction. - Reduced risk and maintenance burden by removing the Data layer in the calculator service and pursuing a more robust data handling strategy. - Strengthened security posture with automated detection of sensitive information in CI. - Expanded API capabilities and test coverage for producers-related endpoints, improving reliability and confidence in production deployments. - Improved packaging hygiene to prevent drift and ensure consistent deployments. Technologies/skills demonstrated: - Architecture refactoring (Data layer overhaul) and data handling strategy alignment - Docker and Azure Functions for local development and testing - CI/CD optimization and packaging hygiene - Security tooling (gitleaks) in CI - API design and integration testing (Producers API, PRN endpoints, RREPW client stubs) - Comprehensive unit/integration testing across services