At Community Dreams Foundation, I built an AWS and Databricks pipeline that brings bank customer and campaign data into Delta Lake. I added 12 automated data quality checks and designed a star schema to support campaign response analysis and segmentation.
At Capgemini, I developed and maintained pipelines and dimensional models from about 20 source systems for Bayer’s enterprise data platform, which loaded 2 TB+ daily. I owned 9 production process chains at a 99% SLA and cut load runtime by 50% during a platform migration.
I’ve also built reusable Python data preparation pipelines as a Graduate Research Analyst at the University of Maryland, Baltimore County. In personal projects, I developed cloud data pipelines using AWS, Databricks, and PySpark, and a transit data lakehouse with automated data quality tests.
