HELLO, I'M
Ramkumar Gudivada
Data Engineering Leader / Principal Data Architect
Architecting the sustainable future of cloud data. Specializing in GreenOps, Self-Healing Pipelines, and Algorithmic Cost Governance.
Architecting the sustainable future of cloud data. Specializing in GreenOps, Self-Healing Pipelines, and Algorithmic Cost Governance.
Original contributions driving efficient, carbon-aware cloud computing.
App #: US 63/973,243
A breakthrough system that optimizes database query execution plans based on estimated carbon footprint rather than just speed. This "GreenOps" engine allows enterprises to balance performance deliverables with environmental sustainability goals.
App #: US 63/977,980
An automated remediation framework for distributed ETL systems. Using AI to detect failure patterns, it autonomously restructures execution paths for transient errors, dramatically reducing operational toil.
Under Peer review research - pushing the boundaries of Data Engineering.
Status: Under Review (ID: SW-2026-01-0057)
Moving beyond monitoring to autonomous correction in serverless environments. A maturity model for data reliability.
Status: Submitted (Feb 2026)
Reframing "Cost" from a business metric to a first-class architectural non-functional requirement (NFR) for software engineers.
Status: Under Review (ID: ITPro-2026-01)
Mathematical frameworks for predicting and controlling spend in hyper-elastic cloud data warehouses like Snowflake.
Status: Under Review (ID: SW-2026-01-0056)
Reducing the carbon footprint of SQL queries through intelligent caching and workload scheduling.
Leading mission-critical cloud modernization for a major Texas State Agency. Architecting scalable data lakehouses that handle disaster response data for millions of citizens.
Designed and optimized Reference Data Systems (RDS) for Bank of America, ensuring regulatory compliance and high-availability data access.
Built Supply Chain Intelligence systems for Target Corporation, optimizing distribution center analytics.