Gaurav Upreti
Vice President Compliance Data Engineering (Regional Head) @Goldman Sachs
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WORK HISTORY
Vice President Compliance Data Engineering (Regional Head) @Goldman Sachs
Bengaluru, IN
Leading the transformation of regulatory, market, and surveillance data infrastructure — from legacy pipelines into governed, cloud-native platforms built for reliability and future AI readiness. Spearheading migration from on-premise HDFS to an Amazon S3 Lakehouse (AWS Glue + Snowflake), enabling elastic and scalable regulatory reporting Established data contracts between producers and consumers to enforce semantic consistency and regulatory evidence readiness Structuring regulatory and reference datasets as decision-grade, ML-ready assets — laying the groundwork for responsible AI adoption in financial surveillance Strategic partner to Compliance, Risk, and Legal leadership on platform alignment with regulatory expectations Leading a large global data engineering team across modernisation, observability, and cloud cost programmes
EDUCATION
Visvesvaraya Technological University
Be, Mechanical
SKILLS
ABOUT GAURAV UPRETI
I\'ve spent two decades at the intersection of data engineering, financial regulation and cloud transformation — building platforms that don\'t just process data but make it trustworthy enough to act on. At Goldman Sachs, I\'ve held progressive leadership roles across Prime Brokerage, Global Markets, and Compliance Engineering. My work has centered on one consistent theme: translating complex data environments into reliable foundations for business decisions — whether that\'s trading, cost governance, or regulatory reporting. My current mandate is leading the cloud transformation of regulatory, market, and surveillance data — migrating legacy infrastructure to an AWS S3 Lakehouse architecture, establishing data contracts, and structuring datasets as ML-ready, decision-grade assets that can support the next generation of financial intelligence. I lead with a strong point of view on responsible AI: the organizations that will deploy AI effectively in regulated industries are those that invest in data trust first. Governance, lineage, and semantic consistency aren\'t compliance overhead — they\'re the foundation that makes AI safe to use at scale. Beyond the platform, I care deeply about building organizations, not just teams. I\'ve led large global engineering functions with a focus on diversity, visibility, and creating pathways for engineers to grow into strategic roles. I believe India\'s GCC ecosystem is one of the most important and underutilized forces in global financial services today.
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