Responsible for the complete ground up design, data modeling, lead developer and overall project lead for an enterprise data warehouse and business intelligence solution processing data from both internal and external data sources. The warehouse leverages a DataVault framework and all other aspects of the warehouse are table driven including the storage and execution of data transformations and data validation logic via a rules engine. In addition all variables that drive data processing configurations and data source to target mapping into the DataVault as well as the SQL and logic used to create dimensions and fact tables are also table driven. This results in an overall data warehouse architecture that is extremely resilliant that seamlessly shifts with any project scope and/or requirement changes. This approach is also highly scaleable and supportable since all core data warehouse components (stored procedures, function and SSIS packages) do not change with changing requirements.