Analytics engineer specializing in healthcare data. I design and maintain the pipelines, data models, and BI systems that turn raw data into decisions.
Currently pursuing an MS in Analytics at Georgia Institute of Technology.
The full analytics stack — from dbt pipelines and incremental models to semantic layers and Power BI dashboards. My focus is on data reliability: making sure the numbers people trust are actually trustworthy.
At Medispend, I've built centralized metrics catalogs, automated data quality monitoring across pipeline stages, and dimensional models supporting enterprise-scale reporting for healthcare compliance.
Transformation: dbt · SQL · Python · PySpark BI: Power BI · DAX · MicroStrategy · Tableau Cloud: Azure Data Factory · Microsoft Fabric · Azure Databricks Databases: SQL Server · Redshift · Oracle · PostgreSQL
Outside of work: fantasy fiction, lifting, and an ongoing complicated relationship with carbohydrates.