Technical writing on data engineering, pipelines, analytics, and the occasional creative data project.
What I learned trying to move 574 people toward data fluency — why building great data infrastructure is the easy part, and why the hardest problems have nothing to do with code.
A retrospective on building a full Data Mesh environment at MercadoLibre's Internal Systems, migrating 6+ pipelines to production, and planting the seeds of a data-driven culture initiative.
Why I chose a 10-minute rolling window for emotion smoothing — and the trade-offs between noise reduction and temporal precision
Why I deprecated an AI chatbot that technically worked — a lesson in knowing when the right technical solution isn't the right product solution
How I improved subtitle file quality for emotion analysis through systematic validation and iterative improvement.
A deep dive into the multilingual emotion analysis behind Spiriteddata — using HuggingFace transformers to decode the emotional DNA of Miyazaki's masterpieces across 5 languages.
How I built a transformation layer for the Spiriteddata project using dbt-core and DuckDB — featuring emotion analysis, knowledge graph edges, and data quality validation.
How I went from IT support to senior data engineer at Latin America's largest tech company — and why the unconventional path matters
How AI collaboration saved ~60 hours building a vulnerability management pipeline — with time savings breakdown and estimated financial impact based on hourly rates
From support assistant to senior data engineer — what over a decade at Latin America's largest tech company taught me about building data systems that actually matter
How I built a BigQuery data pipeline for our security team's vulnerability management system — transforming operational data into self-service analytics using medallion architecture