At We Plan, I worked as a Data Engineering consultant on data infrastructure for Buenos Aires City Government. I engineered automated ETL pipelines across SQL Server, Oracle, PostgreSQL, and MySQL production systems, using Azure services to process public-sector data.
I optimized legacy stored procedures to improve processing speed and reduce load on production databases. I also implemented Soda quality checks and Alation cataloging and lineage, giving data owners visibility into dataset health and provenance.
On enterprise B2B projects at We Plan, I built and maintained Airflow DAGs and dbt transformations running on Azure Kubernetes Service. I automated pipeline testing and deployment with GitHub Actions, and delivered SSIS packages, SSAS cubes, and Power BI reports connected to cloud data sources.
I completed an advanced diploma in Data Engineering at ICARO, Universidad Nacional de Córdoba, covering SQL, PySpark, and Databricks. In a personal project, I built a dbt pipeline that ingests data from public APIs and models it with dbt transformations.
