Data Pipeline & ETL/ELT Engineering
Clean data doesn’t arrive — it’s engineered. I design and build the pipelines that move data from source systems into your warehouse reliably, with tested transformations your team can trust and maintain.
What’s Included
- Source system integration and ingestion design
- ELT pipeline implementation (Fivetran, Airbyte, custom Python)
- SQL transformation layer — modeled, tested, and documented
- Orchestration with Airflow
- Incremental model design for production scale
Stack Experience
Python (pandas, SQLAlchemy) · Airflow · Spark · Fivetran · Airbyte · BigQuery · Redshift
I write transformation code the way software engineers write application code — version-controlled, reviewed, tested, and documented.
Data Engineering
End-to-end pipeline design and implementation — from raw source ingestion to clean, tested, production-ready data.