My role

As data engineer I helped model the star schema and build dbt transformations across the medallion layers, orchestrated daily runs with Apache Airflow, containerized the stack with Docker, and surfaced insights in Metabase. The pipeline processes 1.55M+ rows across nine source tables.

Impact & what I learned

A reproducible analytics pipeline that transforms raw transactional data into clean, query-ready data marts and business dashboards. I got hands-on with the modern data stack (dbt, Airflow, medallion architecture), dimensional modeling, and building containerized, reproducible workflows.