Summary
Fardi Yeung is a senior data modeler and VP Data Management Application Specialist based in New Jersey with a track record of leading enterprise data architecture, governance, and BI initiatives across financial services and manufacturing. He specializes in Data Vault modeling, cloud data platforms (Snowflake), data governance (Collibra, MTM), and end-to-end BI solutions, from requirements through reporting. In his current role at Sumitomo Mitsui Banking Corporation, he drives regulatory oversight reporting and data architecture within an IBM Informatica-centric framework. His prior roles at AT&T, Prudential, Merck, Fiserv, Vertex, and Autoliv span CRM migration, data modeling, and data integration, often guiding cross-functional teams to auditable, scalable data solutions. He blends a strong technical foundation (Python, R, SQL, ETL, Hadoop, Snowflake) with a formal background in social work, and recently earned a Rutgers Data Science Bootcamp certificate to sharpen analytics and BI capabilities. Based in New Jersey, he brings a rare combination of stakeholder leadership, rigorous data governance, and hands-on delivery across the data lifecycle.
8 years of coding experience
19 years of employment as a software developer
Data Science with R Programming, Data Science with R Programming at Avtech Institute of Technology
Notre Dame College
Certificate, Data Science and Analytics, Certificate, Data Science and Analytics at Rutgers Data Science Bootcamp
Master of Social Work - MSW, Planning & Management (Social Research), Master of Social Work - MSW, Planning & Management (Social Research) at The University of Alabama