Developed and optimized a query acceleration product using an in-memory database, creating artifacts to promote adoption and improve concurrency while managing cloud costs. Conducted a successful POC integrating PostgreSQL as a processing layer to create graph databases with Cypher support, automating graph creation from relational data through custom PostgreSQL functions. Designed a recommendation engine for the data catalog, providing data model optimization insights based on usage patterns and user behavior. Played a key role in building a data product platform from scratch, focusing on data discovery, activation, and monitoring. Owned the data exploration sub-product, enabling simultaneous exploration and analysis. Collaborated on designing and implementing data products for an internal catalog, contributing to wireframes, Figma prototypes, and comprehensive documentation. Integrated an open-source data transformation tool into the platform, extending SQL transformation capabilities through a successful POC. Identified gaps in a semantic data model GUI application and led engineering efforts to implement improvements, enhancing usability and functionality.

Optimized data pipelines to improve system efficiency and scalability. Built a metadata knowledge graph using a multi-modal database, enabling insights through Cypher templates like Lineage and Impact. Authored detailed documentation, onboarding guides, and recipes to empower users. Collaborated with Customer Success teams to document solutions, supporting Sales and Marketing with actionable insights. Streamlined Root Cause Analysis (RCA) by designing tables/views to simplify artifact exploration, reducing time-to-insight during critical investigations. Productized an internal SQL parsing and cluster management service, delivering enhanced query usage data and improved system performance.

Completed various RCAs of some major issues causing broken data pipelines and data quality issues. Established a robust process around it, ensuring fewer surprises in the future.Led many projects focussing on complex data analytics while managing various other overhead day-to-day tasks and IT teams for configuring new products requirements and other components.Analyzed business requirements to provide multiple end-to-end solutions. Proved successful working within tight deadlines and a fast-paced atmosphere.

Handled multiple clients at once and managed to deliver timely results. Worked with the development team to define and implement customization requests to enhance product functionality.Worked closely on migration activity for a new client.Worked closely for a giant client from laying the groundwork on UAT until bringing the system to live in the production environment, with various tests and quality checks along the way, while collaborating with multiple cross-functional teams.

Learned about the insurance domain and how insurance and reinsurance work in reality. Worked with multiple clients under guidance and performed countless UATs for new software builds.