Christian Chacón Romero - Data & GIS Engineer

About Me

Data Engineer & Backend Developer with 13+ years of experience specializing in geospatial data platforms, designing end-to-end ETL/ELT pipelines using Python and SQL.
Expert in spatial database modeling and administration (PostgreSQL/PostGIS, SQL Server, Oracle), integrating ESRI Enterprise and OGC services to ensure data interoperability and governance.
Developer of scalable Web GIS back-end architectures and APIs (FastAPI), automating workflows with Docker containers in Azure/AWS and on-premise environments.
Focused on performance optimization (partitioning, spatial indexing) and acting as a technical bridge to transform complex business requirements into maintainable, production-ready solutions.

Python R

FastAPI Django RESTful API Swagger

Linux Docker

PostGIS ArcGIS Enterprise SQL Server/Oracle

GeoServer GDAL Leaflet Dash

Google Earth Engine Azure Data Factory

Apache Spark Apache Sedona Apache Airflow

A tool designed for exploring and analyzing specific areas using Google Earth Engine's vast catalog of satellite imagery.

Python GEE View

Robust backend engine for spatial data processing, ETL workflows, and database management.

FastAPI PostGIS View

Distributed geospatial analysis using Apache Spark and Apache Sedona for landscape metrics.

Spark Sedona View

Tools and utilities for processing and managing Landsat satellite imagery data.

Remote Sensing Data View

Web application focused on environmental monitoring of Valencia Lake.

Web GIS Env Monitoring View

Interactive map welcoming visitors from their current location.