Engineered a fault-tolerant loan onboarding pipeline using Java (Spring Boot) and Oracle SQL, ingesting and processing 130K active loans with
100% data accuracy, thereby adding a $1.2 billion portfolio to the business in 1 day, reducing boarding time required by 50%.
Streamlined rebate processing by architecting a solution that fully automated a previously manual process, ensuring compliance and accurately
handled over $1M in rebates using Oracle SQL and Snowflake.
Collaborated cross-functionally with servicing and accounting teams to engineer a 'loan contract rewrite' process by implementing a layered,
facade-based architecture that encapsulated complex SQL procedures. This automation reduced average processing time from 25 minutes to
under 1 second per loan, while ensuring 100% transactional accuracy and compliance.
Implemented GAP insurance rebate workflows using Java (Spring Boot) and SQL, reducing error rate by 88%, thus resolving discrepancies related
to delayed or incorrect refunds.
Automated the generation and precise mapping of 130K+ payment general ledger entries, streamlining accounting reconciliation processes and
improved transactional accuracy across the financial ledger by 96%.
Streamlined Wells Fargo payment rejection workflows using SQL,
