Daniel Sarmiento

Background

About Daniel Sarmiento

As a seasoned analytics engineer with over a decade of experience, I specialize in transforming complex clinical, financial, and operational data into strategic assets for healthcare organizations. My expertise spans the modern data stack; I architect cloud data warehouses in Azure and Google Cloud Platform, build robust ELT pipelines with dbt, Python, and Airflow, and develop compelling, self-service BI solutions in Power BI and Tableau. My portfolio of hands-on projects showcases the end-to-end development of data solutions—from orchestrating GCP data pipelines to deploying predictive models with scikit-learn and leveraging dbt for scalable analytics. A passionate advocate for a data-driven culture, I have a strong record of leading cross-functional teams and mentoring analysts on analytics engineering best practices and semantic layer development to drive quality improvement and operational efficiency.