Summary
Bhavana Gudi is a data engineer with a strong blend of academic and industry experience, specializing in big data architectures, ETL pipelines and analytical reporting across AWS, Teradata and Spark ecosystems. With over nine years of professional experience and a current role at Thermo Fisher Scientific, she has delivered measurable business impact—most notably enabling a 50% productivity improvement through automated data marts and complex Teradata SQL at Kaiser Permanente. She pairs hands-on programming (Python, SQL, C++) with cloud-native toolchains (Redshift, EMR, S3, DynamoDB) and visualization to turn messy upstream systems into optimized, decision-ready datasets. While pursuing a Master’s in Computer Science (Data Science) at the University of Washington, she also developed cloud-based curricula and lab platforms for undergraduates, reflecting a knack for translating complex distributed systems into teachable, production-ready workflows. Colleagues know her as a Big Data enthusiast who focuses on practical automation and data quality—often engineering end-to-end solutions that reduce manual effort and surface strategic KPIs.
10 years of coding experience
1 year of employment as a software developer
Master's in Computer science (Data Science), Master's in Computer science (Data Science) at University of Washington
Bachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at JNTU College of Engineering
Telugu, Hindi, English