📍 Mexico City · Remote-first · Open to opportunities

Hi, I'm Hernán Galileo Backend Engineer · Data Engineer · GIS Developer

I build systems that handle scale — from fintech microservices to geospatial pipelines for urban analysis. Currently at Stori and completing a Master's in Urban Planning at UNAM.

Hernán Galileo Cabrera Garibaldi

Two areas of expertise

I work at the intersection of distributed systems and geospatial intelligence.

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Technology Professional

Senior backend and data engineering experience building production systems in fintech and enterprise environments. Specialized in Go, Python, cloud-native architectures, and data pipelines at scale.

Go Python AWS Kafka Spark Snowflake Microservices PostgreSQL

See experience →
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Geospatial Professional

GIS development and spatial data analysis applied to urban mobility, public transit, and city infrastructure. Research-grade work combining programming with urban planning insight.

GeoPandas PostGIS QGIS GeoJSON Spatial SQL Urban data

See GIS work →

Skills & Tools

Languages
Go Python SQL Bash
Backend
Flask FastAPI Django Gin REST gRPC
Data Engineering
PySpark Kafka Pandas Snowflake Glue Step Functions
GIS / Geospatial
GeoPandas PostGIS QGIS Shapely GeoJSON Spatial SQL
Cloud & DevOps
AWS Azure GCP Docker Jenkins CloudFormation
Databases
PostgreSQL MongoDB Redis Oracle

Featured Work

Apimetro

REST API that ingests, models, and serves structured geospatial data for Mexico City's public transit network — Metro, Metrobús, Cablebús, and Tren Ligero. Built as a research tool for the UNAM Urban Planning Master's, analyzing CDMX transit infrastructure with spatial queries and GeoJSON outputs.

Python Flask GeoPandas PostGIS GeoJSON Spatial SQL View on GitHub →
Apimetro

Transaction API — Backend Challenge

End-to-end Go REST API built as a technical challenge: a migration service that ingests transaction records from CSV into a database, and a balance service that computes user summaries on demand. Fully Dockerized and deployed to Fly.io.

Go Gin Docker Fly.io PostgreSQL View on GitHub →

VFT Model — Urban Transit Analytical Engine

Geospatial and topological analytical engine for evaluating ring-shaped and feeder transit networks in Mexico City. Built on a pragmatic hexagonal architecture: FastAPI endpoints, GeoPandas + NetworkX + Momepy for graph computation, and async clients consuming the Apimetro Go API. Powers the quantitative analysis of the TAICMAM thesis at UNAM.

Python FastAPI GeoPandas NetworkX Momepy GeoJSON View on GitHub → Research reports →
La Historia de Quince — cover

La Historia de Quince

Hernán Galileo Cabrera Garibaldi · Letrame Editorial

Published fiction novel with horror elements. Writing alongside engineering is part of staying creatively sharp — the discipline of storytelling carries over into how I design systems and communicate technical ideas.


Latest Posts

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VFT Model — Report 00: Building a Topological Transit Graph

How do you turn raw GTFS data into a computable graph? The VFT Model's first report constructs a directed, weighted t...

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Building a Geospatial Transit API for Mexico City

How I built Apimetro — a REST API that models Mexico City's public transit network as spatial data, and what I learne...

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Open to opportunities

Whether you're looking for a backend engineer, a data platform specialist, or a GIS developer for urban data projects — let's talk.

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