Pranav Kadam

• Spearheaded CleverTap integration to enhance customer communication via targeted in-app notifications for offers and services. Enabled ~40 business processes across verticals to trigger personalized messages using Databricks, Datalake , spark, SQL, and ADF — improving outreach and driving a ~30% increase in business through timely offer pitching.
• Built a data integration solution using Databricks to ingest two-wheeler pricing, insurance, and RTO data from the BikeDekho API, aggregated it against Bajaj Finserv benchmarks, and integrated the output with SFDC — enabling sales teams to proactively mitigate dealer over-funding risks across bike models by ~80%.
• Engineered a dynamic SQL-driven Gen-AI backend using Databricks Genie, including prompt engineering and data preparation, to power conversational data access.
• Set up CI/CD with Azure DevOps, improving deployment, versioning, collaboration, and operational efficiency across a 15-member data engineering pod.
• Achievements: Recognized with Prodigy award and Developer of the quarter award for consistently exceeding KPIs, achieving up to 150% of targets. Received Spotlight award for impactful contributions to the Clevertap Intergration project.

Banking(EMI) and Disbursement Presentation Pipeline

• Designed and implemented a near real-time data pipeline to process EMI and disbursal presentation details for over 4 crore loans and managing over 100 crore status records monthly, triggered as and when data is presented to partner banks.
• Enabled continuous ingestion and transformation of loan data with status-level granularity.
• Used ADF for orchestration and Databricks for scalable processing using Delta Lake and partitioning strategies.
• Optimized the legacy process, reducing end-to-end execution time by 60%, and significantly improved data freshness for downstream systems and dashboards, enabling faster decision-making by the Collections and Operations teams.
• Created Power BI dashboards for real-time tracking of data load volumes and pipeline failures, enabling daily operational visibility.
• Achievements: Recognized with Kudos award for impactful contributions to the Banking Prsentation project.

Merchant One

• Built a scalable data back-end using Databricks Workflows for the Merchant One project, enabling tracking of merchant onboarding across platforms and creation of performance metrics to support sales team incentive programs.