
Adam Burns developed and enhanced backend data features for the SkillsFundingAgency/das-roatp-api repository over six months, focusing on robust SQL scripting, database management, and API development. He implemented historical data tracking, automated quality assurance reporting, and provider performance computations, introducing schema changes and computed columns to improve data fidelity and reporting accuracy. Adam addressed edge cases in provider location filtering and expanded support for online training types, refining stored procedures and proximity-based sorting logic. His work demonstrated depth in SQL and backend engineering, delivering reliable, maintainable solutions that improved data integrity, user experience, and downstream reporting for stakeholders.
2026-03 Monthly Summary for SkillsFundingAgency/das-roatp-api: Delivered a significant enhancement to the provider lookup flow by enabling online training types and richer course metadata, improving provider selection UX for end users. Implemented online-only provider course support, expanded output with courseType and apprenticeshipType, and refined sorting logic to handle scenarios with missing location data. Strengthened test coverage and data alignment for apprenticeship-related scenarios. Demonstrated cross-functional collaboration (co-authored commits) and delivered business value through richer, more accurate provider data and UX improvements for online training options.
2026-03 Monthly Summary for SkillsFundingAgency/das-roatp-api: Delivered a significant enhancement to the provider lookup flow by enabling online training types and richer course metadata, improving provider selection UX for end users. Implemented online-only provider course support, expanded output with courseType and apprenticeshipType, and refined sorting logic to handle scenarios with missing location data. Strengthened test coverage and data alignment for apprenticeship-related scenarios. Demonstrated cross-functional collaboration (co-authored commits) and delivered business value through richer, more accurate provider data and UX improvements for online training options.
May 2025 monthly summary for SkillsFundingAgency/das-roatp-api. Focused on stabilizing region-based filtering for training locations and addressing edge-case behavior in GetCourseProviderDetails. Key action: fix region filter handling so that when all training locations fall outside the user’s region, the API returns false for all locations rather than incorrectly filtering them out, simplifying conditional logic and improving data accuracy. No new features shipped this month; the priority was robust bug fixes with clear business impact. The change aligns with CSP-2053 and enhances reliability for downstream consumers and reports.
May 2025 monthly summary for SkillsFundingAgency/das-roatp-api. Focused on stabilizing region-based filtering for training locations and addressing edge-case behavior in GetCourseProviderDetails. Key action: fix region filter handling so that when all training locations fall outside the user’s region, the API returns false for all locations rather than incorrectly filtering them out, simplifying conditional logic and improving data accuracy. No new features shipped this month; the priority was robust bug fixes with clear business impact. The change aligns with CSP-2053 and enhances reliability for downstream consumers and reports.
April 2025: Delivered two principal capabilities for the das-roatp-api. First, added an Annual Quality Assurance Report (QAR) data population script for academic year 2023-2024, enabling automated insertion and updates of national, provider, and standard QAR data. Second, refined distance-based provider ordering in GetProvidersByLarsCode to prioritize providers closest to the user, with robust zero-distance edge-case handling and deterministic ordering by achievement rate. These changes enhance QA reporting reliability and the relevance of provider search results, driving better decision-making and user experience. The work aligns with CSP-1970 and CSP-2049 and demonstrates strong SQL/data engineering, proximity sorting logic, and defensive coding practices for data integrity and user-centric features.
April 2025: Delivered two principal capabilities for the das-roatp-api. First, added an Annual Quality Assurance Report (QAR) data population script for academic year 2023-2024, enabling automated insertion and updates of national, provider, and standard QAR data. Second, refined distance-based provider ordering in GetProvidersByLarsCode to prioritize providers closest to the user, with robust zero-distance edge-case handling and deterministic ordering by achievement rate. These changes enhance QA reporting reliability and the relevance of provider search results, driving better decision-making and user experience. The work aligns with CSP-1970 and CSP-2049 and demonstrates strong SQL/data engineering, proximity sorting logic, and defensive coding practices for data integrity and user-centric features.
February 2025 — SkillsFundingAgency/das-roatp-api: Key feature delivered was Provider Performance Rating Computation. The feature introduces computed columns across multiple database tables to derive human-readable provider performance ratings from numerical star and achievement rate values, enabling automatic categorization of performance levels. This delivers faster, more accurate provider evaluations and improved reporting, informing strategic decisions and monitoring provider quality. No major defects reported this month; the change enhances data-driven decision making and transparency. Technologies demonstrated include database schema changes, computed columns, data transformation, and integration with existing ratings logic, aligned with CSP-1899.
February 2025 — SkillsFundingAgency/das-roatp-api: Key feature delivered was Provider Performance Rating Computation. The feature introduces computed columns across multiple database tables to derive human-readable provider performance ratings from numerical star and achievement rate values, enabling automatic categorization of performance levels. This delivers faster, more accurate provider evaluations and improved reporting, informing strategic decisions and monitoring provider quality. No major defects reported this month; the change enhances data-driven decision making and transparency. Technologies demonstrated include database schema changes, computed columns, data transformation, and integration with existing ratings logic, aligned with CSP-1899.
January 2025: Delivered RoATPv2 Standards Management and Data Population for the FAT 2025 environment in SkillsFundingAgency/das-roatp-api. Implemented database changes to support RoATPv2 standards, added NQR and PQR data population, performed a target framework upgrade, and organized post-deployment scripts to improve deployment reliability. The work aligns with CSP-1830 and is committed under CSP-1830_Managing_Standards_(RoATPv2)_database_changes_for_FAT_2025 (#165).
January 2025: Delivered RoATPv2 Standards Management and Data Population for the FAT 2025 environment in SkillsFundingAgency/das-roatp-api. Implemented database changes to support RoATPv2 standards, added NQR and PQR data population, performed a target framework upgrade, and organized post-deployment scripts to improve deployment reliability. The work aligns with CSP-1830 and is committed under CSP-1830_Managing_Standards_(RoATPv2)_database_changes_for_FAT_2025 (#165).
October 2024: Implemented historical data enhancement in das-roatp-api by adding a CreatedDate column to ProviderCourse and populating it from audit records or defaulting to the earliest creation date, enabling accurate historical data and reliable RAT request comparisons. This backend change improves data fidelity, supports governance, and reduces manual data grooming for stakeholders. Implemented in SkillsFundingAgency/das-roatp-api (commit cfaa4da213e4864c330d83c20eba55a0e039462a).
October 2024: Implemented historical data enhancement in das-roatp-api by adding a CreatedDate column to ProviderCourse and populating it from audit records or defaulting to the earliest creation date, enabling accurate historical data and reliable RAT request comparisons. This backend change improves data fidelity, supports governance, and reduces manual data grooming for stakeholders. Implemented in SkillsFundingAgency/das-roatp-api (commit cfaa4da213e4864c330d83c20eba55a0e039462a).

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