Technical writing on data engineering, pipelines, analytics, and the occasional creative data project.
AI started as a way to build a single pipeline faster. It became a way to scale a whole team — encoding the standards that used to live only in the senior engineer's head into tools anyone can use.
At the start of 2025, our Data Mesh had 5 jobs, 5 tables, and a handful of daily users. By mid-2026: 150 jobs, 288 tables, 90 average daily users (up from 12), and a steadily growing compute footprint. Here's the full growth curve, with charts.
A Data Mesh with no operating manual is a platform only its engineers can use. Here's what we shipped to make ours serviceable: a formal RACI, a two-track access catalog, ten documented governance processes, and the pipeline service catalog that replaced the Slack messages.
What I learned trying to move a ~600-person organization 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 for my team at MercadoLibre, 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
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