Hola! I'm Lizandro, welcome to my GitHub page. I'm a Data Engineering and Artificial Intelligence student at Universidad Politécnica de Yucatán. I love building scalable data architectures and am always striving to improve my backend coding skills. I share my projects here to document my learning process and connect with others in the tech and data ecosystem.
I recently got certified as an Associate Data Engineer in SQL and I'm currently looking for a remote internship or junior role to apply what I've learned to real-world infrastructure.
- dc-monitor: A real-time infrastructure observability platform. I built a containerized backend service with FastAPI, PostgreSQL, and Redis, featuring an event-driven architecture and automated Telegram alerts.
- Yucatán Education Dashboard: A full-stack geospatial data product exploring dropout patterns across 106 municipalities. Powered by a Python data pipeline (Pandas/Seaborn) and a React/Leaflet frontend.
- DuckDB vs PostgreSQL: A database architecture benchmark comparing OLAP (columnar) vs OLTP (row-based) performance on analytical workloads, showing a 3-12x speed advantage for DuckDB.
- Airflow Weather ETL: Production-grade orchestration using Apache Airflow to extract, transform, and load API weather data.
- SpaceX ETL Pipeline: An end-to-end pipeline standardizing public API launch data and loading it into MongoDB.
- Massive Data Labs: A progression of containerized ETL pipelines and NoSQL modeling exercises.
I do most of my development on Linux and love customizing my environment. Zorin OS as my daily driver, Cursor for deep technical work, and Obsidian for building my second brain. Day to day I'm usually working with Python, SQL, Docker, and Airflow, and I'm a bit obsessed with keeping my workflow tight.
write clean SQL, go bouldering, read a good book, and enjoy life 🧗♂️
📫 Want to chat? Reach out on LinkedIn or drop me an email. 🌍 English (C2) · Spanish (native) · Deutsch (learning)
