ParAccel, a high-performance analytic MPP database acquired by Actian and serving as the core technology behind Amazon Redshift, was the focus of my work. I designed and developed parallel data connectors—taking them from prototype to production—to enable high-speed data movement between multiple database clusters, laying the foundation for replication and federated database support. I collaborated directly with prospective clients to address their needs using these connectors and also led and mentored the India-based team responsible for database drivers.

Designed and developed enhanced versions of the parallel Hadoop connector, enabling seamless integration of Hadoop data using standard SQL UDFs and MapReduce jobs. Leveraged Apache HCatalog for metadata management and integrated Hive query execution within SQL workflows. Additionally, contributed to SQL functionality enhancements in ParAccel's execution engine and user-defined functions (UDFs).