Yi Gou

I have over 10 years of experience designing, building, and modernizing large-scale data systems in healthcare and technology environments. My expertise spans multi-source data integration, distributed systems, cloud-first architectures, and the development of scalable, production-ready data and ML pipelines. I have led initiatives at UnitedHealth Group, Meta, and Amazon, focusing on data architecture, automation, analytics readiness, and modernization efforts using modern data stacks and cloud-native tools such as AWS Glue, Lambda, S3, Redshift, Athena, and Spark. My background includes driving enterprise ETL modernization, implementing data quality and validation frameworks, and collaborating cross-functionally to deliver business-impactful solutions. I hold a Master of Science in Data Science and an MBA in Information Technology, and I am passionate about leveraging AI and ML to solve complex business challenges. I am particularly interested in roles that combine technical leadership, innovation, and cross-functional collaboration to deliver impactful AI-powered solutions.