Lead Data Engineer with 8+ years designing and leading production-grade data platforms centered on dbt for scalable, testable, and maintainable transformations. Expert in building end-to-end Medallion lakehouse architectures using dbt Core and dbt Cloud on Snowflake, combined with PySpark, Apache
Airflow, Kafka, Great Expectations, and CI/CD best practices. At Flatiron Health, owned large-scale dbt projects that processed 8+ TB of daily healthcare data, reduced latency by 45%, and delivered high-quality, feature-ready datasets for ML models and BI reporting. Passionate about data reliability,
modular modeling, and mentoring teams on dbt-first development. Seeking Lead/Senior Data Engineer roles where dbt expertise drives modern data platform strategy.