Snowflake & Cloud Data Architect with 23+ years of experience architecting enterprise data platforms and 6+ years specializing in large-scale Snowflake migrations, cloud data modernization, and platform engineering for Global life sciences, financial services, and Technology organizations. Proven expertise in designing scalable, secure, governed, and AI-ready data ecosystems, with hands-on experience building Generative AI solutions on Snowflake Cortex.
Combines deep technical expertise across Snowflake, Oracle, AWS, GCP, & dbt with strong architecture, delivery, and stakeholder leadership capabilities. Experienced in modernizing complex data platforms, engineering cloud-native ingestion pipelines, implementing enterprise-wide data governance, and driving performance, scalability, and operational efficiency across Finance, Supply Chain, R&D, and Quality domains.
- Enterprise Data Architecture & Modernization: Architecting and delivering enterprise data platforms, including Snowflake migration and modernization initiatives for Biogen, Federal Home Loan Bank of New York, and Merck.
- Generative AI & Intelligent Data Solutions: Hands-on development of Snowflake Cortex solutions using Cortex Analyst semantic models, Cortex Search retrieval services, and Cortex Agent orchestration to enable natural-language analytics across structured and unstructured enterprise data.
- Cloud-Native Data Engineering: Designed and engineered event-driven ingestion pipelines using AWS DMS, Lambda, EventBridge, and S3 integrated with Snowflake to deliver scalable, governed, AI-ready data platforms.
- Enterprise Data Governance & Security: Implemented RBAC, role-based access controls, dynamic data masking, and compliance-driven security policies across multi-domain Snowflake environments.
- Technical Leadership & Agile Delivery: Experienced Technical Lead and Scrum Master, leading cross-functional onsite and offshore teams of up to 14 engineers while driving delivery execution, stakeholder alignment, and continuous improvement.