Advised clients on resolving challenges with in their legacy applications and data landscape. Designed/Proposed an enterprise architecture to migrate and host the data platform on Snowflake. Led the design/implementation of modern data platform leveraging Snowflake, dbt, and Airflow across cloud environments such as Azure and AWS. Onboarding/Migration to Snowflake platform.

Architected a unified data platform for both legacy and modern applications, delivering end-to-end ingestion, curation, and consumption capabilities. The platform served as a centralized, cost-efficient repository for structured, semi-structured, and unstructured data. Its metadata-driven architecture enabled unified governance and seamless integration across hybrid and distributed environments, delivering real-time insights at enterprise scale.

Architected a distributed, in-memory analytics platform that enabled real-time, federated querying across large-scale systems. Implemented low-latency data access layers to power operational dashboards and decision-support applications. The solution delivered high-performance analytics without requiring data replication, enabling time-sensitive business use cases at enterprise scale.

Designed a decentralized HTAP (Hybrid Transactional and Analytical Processing) data warehouse that integrated indexed blockchain data with off-chain datasets to support Web3 applications. The platform managed end-to-end data ingestion, storage, transformation, and serving of on-chain data. It enabled real-time data access for dApps, DeFi platforms, and NFT marketplaces, while also providing AI-driven analytics.