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chachr81/README.md

Hi, I'm Christian Chacón Romero

MSc. in Remote Sensing (Universidad Mayor, Chile) · Specialist in Geomatics (Universidad Central de Venezuela, Venezuela) · Geographic Professor (Universidad Pedagógica Experimental Libertador, Venezuela) · Computer Engineering student (Universidad Mayor, Chile)

Venezuelan living in Santiago de Chile · Data & GIS Engineer & Remote Sensing Professional · Backend Developer

Download CV


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.

Technical Stack





Featured Projects

  • GEE Area Explorer: A tool designed for exploring and analyzing specific areas using Google Earth Engine's vast catalog of satellite imagery.
  • GIS Engine: Robust backend engine for spatial data processing, ETL workflows, and database management using PostGIS and FastAPI.
  • Spark Sedona Landscape Analysis: Distributed geospatial analysis using Apache Spark and Apache Sedona for large-scale landscape metrics.
  • Landsat Data: Tools and utilities for processing and managing Landsat satellite imagery data.
  • WebApplication Valencia Lake: Web application focused on environmental monitoring of Valencia Lake.

Contact & Reach

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  1. gee_area_explorer gee_area_explorer Public

    Toolkit de consola para explorar disponibilidad de imágenes satelitales en Google Earth Engine

    Python 2

  2. gis-engine gis-engine Public

    Arquitectura en contenedores para Plataformas GIS: Dockerfiles y scripts para construir y desplegar un entorno reproducible de geoprocesamiento en Python, Apache Spark y Sedona

    Dockerfile 3

  3. spark-sedona-landscape-analysis spark-sedona-landscape-analysis Public

    Análisis de Paisaje con Cómputo Distribuido en Spark-Sedona y PostGIS.

    Jupyter Notebook

  4. landsat_data landsat_data Public

    ETL para descargar, organizar y preprocesar imágenes LANDSAT TM, ETM+ y OLI/TIRS para construcción de índices espectrales (MNDWI).

    Python

  5. WebApplication_ValenciaLake WebApplication_ValenciaLake Public

    HTML