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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.

Christopher A. Rotunno Grounded in Analytics

Data analytics engineer and BI leader. Building pipelines, models, and dashboards that turn raw data into clear decisions.

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