● Ownership of both digital payments and consumer credit products of various complexities including Co-Branded Cards, Merchant and Consumer Loans, BNPL, in-wallet and more.● Comprehensive industry knowledge of the finance sector on both functional and technical aspects.● Achieved a 20% reduction in time-to-market for new products by streamlining product lifecycle management in phases.● Decreased development time by 15% through detailed technical specifications, leading to faster feature implementation.● Foster relationships with Technology partners to develop product roadmap.● Managed a backlog of 8 user stories, resulting in a 40% improvement in development efficiency.● Provide updates on each product, executive summary and metrics to business partners.● Successfully applied Agile methodologies to streamline product development and deliver results.● Experience in working with large scale data warehousing solutions using tools like Informatica, PySpark, Google Big Query.

● SME for Financial Services client for products in Digital Payments and Consumer Credit domain.● Working with business partners to understand the product requirements, preparing BRD, impact analysis and designing efficient technical solutions.● Leading and tracking product development with continuous coordination with functional controllership and technical engineering teams.● Articulating product vision and creating user stories.● Overseeing and coordinating the Build effort and working with business to identify the correct test cases for UAT.● Actively involved in the UAT process, working with business for UAT approvals and code deployment timelines.● Participating proactively in Sprint Planning and Retrospectives.

● Expertise in Informatica PowerCenter extracting data from Oracle, SAP HANA, Web Services and flat files.● Improved development efficiency by 20% by using reusable transformations, shortcuts, complex mappings/mapplets to implement business rules.● Proficient in crafting HLDs and LLDs, resulting in a 20% reduction in development time and a 15% increase in project delivery efficiency.● Collaborate with business users in defining and implementing data quality rules, scorecards and metrics to monitor and measure data quality improvements.● Successfully optimized performance through strategic partitioning and pushdown optimization techniques resulting in a 30% reduction in processing time for critical ETL pipelines.● Improved SQL queries and database interactions resulting in a 40% reduction in query execution times leading to faster data retrieval.● Facilitated regular status updates to stakeholders, leading to a 40% decrease in ad-hoc requests and a 25% improvement in resource allocation efficiency.