EV Market Intelligence Pipeline

Built an end-to-end serverless data lakehouse on AWS to analyze global electric vehicle (EV) sales trends—all at near $0 cost. I used the Bruin CLI for orchestration to tie the stack together. Bruin allowed me to: 1. Unify Ingestion & Transformation: Sequence the Kaggle-to-S3 Python asset and the dbt-run asset within a single pipeline. 2. Environment Management: Seamlessly handle local DuckDB processing while targeting AWS S3 for the final "Gold" mart tables. 3. Speed: Achieve rapid development within a GitHub Codespaces environment using a lightweight CLI.