Python

• Delivered 8 Power BI projects with comprehensive manuals, integrating Microsoft Power BI tools with NodeJS API and Python FastAPI for effective data analytics and visualization.
• Led the development, deployment, and support of over 30 GIS projects, demonstrating expertise in PostgreSQL, Bash, Python, JavaScript, GDAL, ArcGIS, PostGIS, and Mapbox technologies.
• Developed a Data Analytics reporting system, increasing quarterly software revenue by 400% through Python‑based PDF reports.
• Built a commit gate of 22 one‑line linters plus five that earn a paragraph, with no warning tier and no inline suppressions permitted, covering HTML, CSS, JavaScript, Python, YAML, Markdown, shell, links, spelling, secrets and typography.
• Cut the site's browser‑driven quality gate from 1,636 seconds to 615 by scheduling its checks longest‑first through a worker pool bounded to four lanes, after measuring that alphabetical order cost 320 seconds against 224.
• Put the documentation under its own linter — a per‑file line budget that only ratchets down, an index requirement and a real‑path check — which found six of nine plans marked done while carrying unchecked boxes, and fourteen commit‑gating tasks named in no document.
• Brought 10,242 lines of quality‑gate JavaScript under a formatter and a linter after establishing it was the largest body of code in the repository and the only one nothing read, fixing 13 findings and suppressing none.
• Held the generator to 981 test cases at a 92% branch‑coverage floor with warnings treated as failures, and asserted idempotence by running the whole build pipeline twice from an empty file and requiring the second pass to change nothing.
• Established PDF/UA‑1 conformance across nine documents at 106 of 106 rules, and found the archival variant failing one rule of 146 — a near‑miss that reads as a pass to anyone not running the validator.
• Selected every rule the Python linter has as an error, working through 1,815 findings to reach zero, with each of the few exemptions carrying a written reason and two of them backed by a checker instead of a comment.
• Wrote tests for the checkers themselves after establishing that a checker fed only clean input will one day report clean because it read nothing — planting a misspelling to confirm the spell‑check finds it, and taking an id range from the database rather than from a number in the test.
• Found the commit hooks and the quality gate running different checks while a document promised they were the same, by comparing the two lists in a test — the five that only ever ran by hand were the ones reading the CV prose.
• Built a cross‑language content check that fails when a translation drops a figure the English states, and when a language uses notation it does not use — finding two Danish descriptions missing a metric and sixteen Ukrainian spans quoting in the English style.

This work is part of what we offer as Technical Leadership & Consulting, DevOps & CI/CD Automation, Technical Documentation, Backend & API Development, Data Analytics & BI Dashboards, Data Governance & Quality, Frontend Development and Product Strategy & Requirements.

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