Vamsi Bandi
@vamsibandi
Staff Data Engineer building cloud-native data platforms for healthcare and insurance.
United StatesWhat I'm looking for
I’m a results-driven Staff Data Engineer with 7+ years of progressive experience designing and delivering enterprise-scale data platforms in the healthcare and insurance domain. I specialize in cloud-native architectures across GCP and AWS, distributed processing with Apache Spark and Kafka, and ELT/ETL pipelines that power clinical analytics, claims processing, and member engagement.
At CVS Health, I led the architecture and delivery of a federated data mesh platform spanning 12 business domains, enabling self-serve analytics for 400+ consumers and cutting cross-team request lead time by 65%. I also designed a GCP-based real-time claims intelligence system (Dataflow + BigQuery + Pub/Sub) to process 2M+ daily events, reducing fraud detection latency from 48 hours to under 4 minutes, while driving a schema-enforcement, SLO-driven data contract framework that reduced downstream breakages by 78% and improved data reliability scores from 72% to 97%.
Experience
Work history, roles, and key accomplishments
Staff Data Engineer
CVS Health
Apr 2026 - Present (2 months)
Led the architecture and delivery of a federated data mesh platform across 12 business domains, enabling self-serve analytics for 400+ internal consumers and reducing cross-team data request lead time by 65%. Built a real-time claims intelligence platform processing 2M+ daily pharmacy events and improved fraud detection latency from 48 hours to under 4 minutes.
Senior Data Engineer
CVS Health
Apr 2022 - Apr 2026 (4 years)
Built and owned a unified longitudinal member profile pipeline aggregating pharmacy, medical, behavioral, and social determinants of health data for 35M+ Aetna members, improving HEDIS star ratings by 1.5. Architected a GCP migration of 15 TB of Oracle/Teradata workloads to BigQuery/Dataproc (40% lower infrastructure cost, 3x query performance) and engineered Spark ETL pipelines at 500K records/se
Data Engineer
Aetna
Oct 2019 - Apr 2022 (2 years 6 months)
Consolidated adjudication feeds from 12 legacy systems into a unified BigQuery data warehouse, enabling consolidated reporting used by 300+ actuarial and finance analysts. Built FHIR-based clinical pipelines and reduced eligibility discrepancies by 70% while migrating 200+ Informatica PowerCenter ETL jobs to cloud-native Dataflow.
Software Engineer
TekInvaderZ IT Consulting and Staffing
Jan 2019 - Oct 2019 (9 months)
Developed Python/Java data ingestion microservices that extracted data from REST APIs, SFTP feeds, and relational databases and loaded it into AWS S3/Redshift. Built automated Pandas/SQL validation for data completeness and business-rule compliance, reducing post-migration defect rates by 45%.
Education
Degrees, certifications, and relevant coursework
Southern Arkansas University
Master of Science, Computer Science and Information Technology
2018 - 2019
Earned an MS in Computer Science and Information Technology at Southern Arkansas University from 2018 to 2019.
University of New Haven
Master's degree, Mechanical Engineering
2017 - 2017
Completed a Master's degree in Mechanical Engineering at the University of New Haven in 2017.
KL University
Bachelor's degree, Mechanical Engineering
2013 - 2017
Earned a Bachelor's degree in Mechanical Engineering at KL University from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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