I’m a data engineer with a Mathematical Engineering background and an MSc in Data Science from EAFIT University, based in Medellín. I build and migrate data pipelines and warehouses (Snowflake, dbt, Spark/PySpark, BigQuery, Teradata) and apply machine learning on top of them: customer segmentation, churn, clustering and fraud detection.
I’ve worked across retail and consumer, insurance and health analytics, and large-scale data migrations. I led a team of eight analysts at Rappi and later served as a product owner on a global data migration at Philip Morris International, which taught me to turn stakeholder needs into well-scoped data products. I’ve also worked in health policy analytics (EPS Sura, IETS) and set up a company’s first analytics roadmap.
I’m comfortable owning the whole path from raw data to a decision: modeling, pipelines, validation and clear communication with business and US-based teams. I’m looking for remote data engineering or analytics engineering roles, ideally with a Snowflake/dbt or Databricks stack.
