Summary
Jenny Shi is an experienced computer scientist and data engineer with nearly two decades of expertise in SQL development, ETL, data modeling, and business reporting, currently supporting analytics at the U.S. Small Business Administration. She has built robust data pipelines and financial visualizations using SSIS/SSRS/SSAS, Informatica, Power BI, Tableau, and scripting with VB, .NET, Python and R across SQL Server, Oracle, Sybase and varied file formats. Her background includes senior roles at MMS-DXC and ASCO where she translated complex business datasets into audit-ready models and decision-ready reports. A certified SQL Server DBA with a master’s in Information Systems and training in Erwin, SAS, Agile, and AWS, she blends practical DBA skills with modern analytics practices. Notably, she pairs deep ETL craftsmanship with a knack for deciphering messy legacy sources—turning disparate inputs like VBA-driven Excel, XML/JSON and flat files into reliable enterprise reporting.
8 years of coding experience
13 years of employment as a software developer
Master's degree, Information System, Master's degree, Information System at George Mason University