I will build a python geospatial etl pipeline for gis data automation

Automate your geospatial data workflows with reliable Python pipelines.

I'm a geospatial systems engineer with production experience on enterprise GIS platforms (PETRONAS PiriGIS, PLUS Berhad, Government of Sabah, DOE/JAS). I build pipelines that ingest, clean, transform and serve spatial data without babysitting.

WHAT I BUILD

- Extract from APIs, files, databases or web services

- Transform: reproject, clip, join, aggregate, validate

- Load into PostGIS, cloud storage or data warehouses

- Scheduling (cron / orchestrators), retries, logging and alerts

- Data quality checks and unit tests

LIBRARIES & TOOLS

Python, GeoPandas, Shapely, Rasterio, pandas, xarray, SQLAlchemy / GeoAlchemy2, Apache NiFi, Kafka Connect, Azure Data Factory, Docker.

WHY ME

- Real production pipelines, not tutorials

- Handles messy real-world data and edge cases

- Documented, reproducible, maintainable

Send me your requirement (source, transformation, destination, schedule) before ordering and I'll confirm scope and timeline.