Trusting the numbers

Selected work demonstrating this service.

• One infrastructure plan for 14 departments

  Designed a comprehensive infrastructure framework for a research institute impacting 14 departments, featuring flexible modules, unified data pipelines, and structured support strategies for long‑term adoption.

• Resolved 1,000 issues in geographical data

  Resolved 1,000 issues in geographical data and time‑series data, using GDAL, ArcGIS, PostGIS, Mapbox, QGIS, SQL (PL/pgSQL, Transact‑SQL), Bash, ensuring high‑quality big data processing.

• Released 500 electricity and GIS data reports

  Released 500 electricity and GIS data analysis reports, utilizing deep research and troubleshooting to ensure accurate geographic and time series big data insights.

• Designed a function‑first PostgreSQL data layer

  Designed a PostgreSQL function‑first data layer — 1,275 stored functions across 34 schemas — so every read and write goes through a function the database can grant, rather than through a table.

• Implemented a catalogue‑driven deep‑merge

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

• Modeled 348 tables across 34 Postgres schemas

  Modeled the maritime domain into 348 normalized tables across 34 PostgreSQL schemas — professionals, companies, ships, jobs, reviews and the rest — with SMALLINT lookups and UUID v7 keys.

• Replaced 963 metadata blocks with one graph

  Replaced 963 anonymous structured‑data blocks that restated the company 1,671 times with one linked graph of 16 types minted from stable origin identifiers.

• Wrote tests for the checkers themselves

  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.

• 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.

• Built a cross‑language figure check

  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.