Service

Spatial databases and data engineering

When the same spatial data is copied between laptops, versions drift and nobody trusts the numbers. I set up one source of truth and the pipelines that keep it current.

What you get

  • A PostGIS database designed around the questions your team asks.
  • Pipelines in Python or Google Earth Engine that pull, clean and update data on a schedule.
  • Quality checks that catch duplicates, broken geometries and missing values.
  • Documentation clear enough for the next analyst to run everything.

Who it's for

Organisations whose spatial data has outgrown a folder of files: field programmes, multi-site operations and research groups.

How it works

  1. ReviewWhat data you have and how it is used
  2. DesignTables, keys and update rules
  3. BuildDatabase and migration
  4. AutomateScheduled pipelines and checks
  5. Hand overDocumentation and training

Questions clients ask

Do we need to pay for software licences?

No. PostGIS, Python and QGIS are free and open source.

Will it work with the tools we already use?

PostGIS connects to QGIS, ArcGIS, Power BI and most analysis tools, so your team can keep using what they know.

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