Aakriti Gupta

I’m a Senior Data Engineer focused on translating business requirements into scalable data architectures that perform reliably in production. I partner with Product Owners and Business Leads to align engineering roadmaps with real banking outcomes.

At PNC Financial Services, I’ve driven end-to-end deployments, standardized release and validation checks, and optimized Spark execution to reduce production runtimes and infrastructure overhead. I also architected a modular parallel processing framework for income verification, cutting processing time by 98% while improving maintainability.

I build data products that directly impact risk and growth—automating Spark ETL to detect fraudulent patterns at loan origination and contributing to a 20% reduction in risky loan exposure. I’ve also supported modeling teams with a consolidated credit data mart and delivered reconciliation visibility using Tableau.

Before that, I led mortgage data engineering initiatives delivering a ~$1M+ monthly revenue lift, and I modernized reporting workflows by eliminating 100% of manual oversight. Earlier roles in model risk, quantitative exposure management, and software engineering shaped how I approach rigorous validation, performance, and compliant data delivery.