Designed and implemented real-time and batch ETL pipelines, as well as external-facing APIs, enhancing mission-critical data delivery for organizations including NASA, NOAA, Coast Guard, and Navy.

Designed and scaled a cloud-based data lake on Amazon S3 with Presto/Trino, enabling ML teams to efficiently query and analyze petabyte-scale datasets for model training

Implemented large-scale data processing and analytics using Spark/Databricks, lowering processing times from days to hours.

Designed and optimized database solutions to support both operational and analytical workloads.

Led a team of six engineers building Fusion, a distributed system enabling Paxos-based data replication across clusters, Hadoop distributions, and cloud object stores (S3, Google Cloud, Azure). Supported enterprise customers including Walmart, Barclays, and GE.

Designed and implemented HS Code classifier using Apache Mahout/Hadoop, to classify items based on title and description for the Global Shipping Program.