Enterprise Finance Technology’s Data Horizontal team helps teams build strong technical foundations and enables future business strategy by providing technical support and guidance for teams building high performance, integrated, and controlled data integration solutions. In this role, I act as both an individual contributor and as a seasoned technical resource and am able to provide technical direction to development teams. I also help the team craft data solutions to meet business and enterprise requirements and lead data modeling efforts. The current stack is Informatica / Oracle / SQL while exploring new big data methods of moving data using Python, PySpark, Airflow, and Rules Engines.

While finishing my last semester at Columbia, I worked as a contracted Data Scientist for Bank of America which helped me obtain a full-time AVP role within the organization. Advisors from the Career Design Lab helped by coaching me throughout my time studying at Columbia.