Data that reaches production.

Data Engineer with 4 years of experience in data pipelines, Elasticsearch and Python.

Projects

Data Engineering, featured

problem: There was no simple way to see how temperature changed in each region of the country, city by city, with comparable data since 1940.
solution: ELT pipeline that pulls 85 years of daily data for all 24 of Argentina's capitals plus 3 other cities (ERA5 reanalysis), models it with dbt on DuckDB with data-quality tests at every layer, and publishes an interactive dashboard that GitHub Actions refreshes twice a week.
stack: Python, SQL, dbt, DuckDB, GitHub Actions, Observable Plot

Year — Present
Your current role · Company
Describe your most concrete achievement in this role.
Year — Year
Your previous role · Company
Explain what you built and what changed because of it.

Describe who you are and what kind of data problems you enjoy solving.

Add one or two sentences about your experience and what you are looking for next.

If you have an open data role, get in touch and we can set up an interview.