Migrations & Modernization

• Improved GIS map performance 10x on PostgreSQL

  Improved geographical map application performance by 10x through strategic database transition from MSSQL to PostgreSQL, including the data cutover, optimizing processing and data security.

• A tenth of the cloud bill, and nothing lost

  Optimized budget costs 10 times with zero loss in productivity for an international client by reimagining the overall infrastructure, eliminating unnecessary services, and relocating from the AWS cloud.

• Migrated the API to Huma v2 at 100% parity

  Migrated the HTTP API from Fiber to Huma v2 — 649 paths and 760 operations — reaching and holding 100% parity between the routes the server registers and the OpenAPI description it publishes.

• Implemented a catalogue‑driven deep‑merge

  Implemented a catalogue‑driven deep‑merge for stored JSON preferences, preventing missing‑key crashes as the schema evolves.

• 1,022 migrations behind a schema drift gate

  Kept the schema honest across 1,022 migrations with a CI gate that builds the database both ways — a fresh install, and an install plus every migration — and fails when the two disagree.

• Moved every string into a content tree

  Moved every user‑facing string out of Python into a content tree of 874 files across three languages, after finding dead translations nobody could see were dead and a check silently grading a third of the achievements.

This work is part of what we offer as Backend & API Development, Database Migration & Modernization, Data Governance & Quality, DevOps & CI/CD Automation, Platform & Solution Architecture, AI Data Readiness, AI Agent Tools & MCP Servers and Cloud Infrastructure & Migration.

Building something that needs this? Get in touch.