Summary
Veera Marni is a data engineer with over 10 years of experience building cloud-native data platforms and analytics solutions for finance and risk teams. She has led architecture and implementation of data mesh and cataloging solutions on AWS and Snowflake, driving metadata, lineage, and data quality at Freddie Mac and Fannie Mae. Her work spans end-to-end engineering—from Redshift materialized views and stored-proc patterns to AWS automation with boto3 and GenAI-accelerated development—focused on near real-time reporting and model risk management. Earlier roles in natural language-driven supply chain analytics and large-scale healthcare claims analysis show a strong blend of ML, graph databases, and production data engineering. Based in Herndon, VA, she brings a pragmatic balance of platform architecture and hands-on implementation that reduces operational friction and speeds delivery of fit-for-purpose data products.
10 years of coding experience
5 years of employment as a software developer
Master Student Data Science, Master Student Data Science at Indiana University Bloomington
High School Science and Mathematics, High School Science and Mathematics at Loyola Public School
Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at SRM IST Chennai
English, Telugu