• Managing team of BigData engineers developing Dreambox's data warehouse, data lake, and BI reporting solutions.• Constantly leading efforts to make the data warehouse execute reliably and more efficiently. Analyzing job processing times to identify inefficiencies and potential issues before they arise. Dedicating time and resources to correct the inefficiencies and problems.• Implemented data warehouse workflow system with time and dependency-based jobs using Airflow.• Partnered with engineering team to deliver reliable reporting data from the data warehouse to external customers.• Responsible for management and adoption of BI reporting solutions (Tableau and internal tool sets).

• Recruited, hired, and managed team of engineers, SDETs, and project managers as company created its initial data warehouse team. Grew team into vital contributors in company decision making. Team ranged in size from 4-15 direct reports.• Partnered with multiple engineering teams across the company to define data definitions, incoming data streams, and reporting requirements.• Led efforts to make the data warehouse execute reliably and more efficiently. Analyzing job processing times to identify inefficiencies and potential issues before they arise. Dedicating time and resources to correct the inefficiencies and problems. Implemented on-call rotation, provided 7/24 on-call support. • Designed and programmed multiple clickstream data warehouses using a star schema with fact tables and dimensions. Created internal tools to administer data warehouse workflow and processing.• Executed 6 month project to migrate 30+ TB data warehouse from an on-premise Netezza system to the RedShift platform in the AWS Cloud. Reduced annual cost of data warehouse by 75%. During RedShift migration, we devised ways to streamline processing and utilize the strengths of the RedShift platform. Data warehouse processing time improved by 30% and end-user query time was reduced by 50%.• Participated on the team designing and implementing the company’s data lake solution. Data lake built using AWS tools Glue, Athena, and Spectrum. • Led team in designing and implementing the company’s first data warehouse on the Snowflake platform. Started with proof of concept that was a collaboration between data warehouse, data science, and BI teams. At conclusion of proof of concept, results were successful and we made the decision to move forward with design and production implementation.

• Designed and developed database processes supporting eCash application.