Prashanth Reddy
Data Engineer at Wells Fargo
- Role
- Data Engineer at Wells Fargo
- Location
- Kansas City, MO, US
- LinkedIn followers
- 500 followers
About Prashanth Reddy
Data Engineer with around 5 years of experience in building and optimizing data…
Experience
Data Engineer
Nov 2024 — Present · Kansas City, MO, US
Designed and deployed ETL pipelines using AWS Glue and Python to process over 3 million daily credit transactions, reducing data latency by 52% and enabling faster downstream analytics across credit risk portfolios and compliance dashboards. Built and managed a scalable real-time ingestion framework with Apache Kafka to stream live mortgage, loan, and payment events, cutting fraud detection lag from 18 minutes to under 7 minutes, supporting the internal audit and fraud intelligence teams. Developed and maintained modular dbt transformation models to unify data from loan servicing, treasury, and CRM systems, streamlining executive reporting workflows and saving 15+ manual hours every month for the risk and finance analytics teams. Migrated over 11TB of historical financial data from legacy on-prem SQL systems to AWS S3, applying server-side encryption and version control, leading to a $65K annual savings and achieving compliance with internal cloud governance policies. Engineered optimized batch jobs using Informatica PowerCenter for end-of-quarter financial compliance reporting, enabling on-time submissions to the FDIC and reducing back-office delays by over 3 full business days in high-stakes reporting periods. Enforced secure access controls via RBAC, IAM roles, and data masking within Snowflake and S3 buckets, helping reduce internal data breach risks by 68%, while ensuring clean audit trails for yearly SOX and HIPAA regulatory reviews. Created detailed Power BI dashboards integrated with Advanced Excel (PivotTables, macros, Power Query) for CFO teams to track delinquency rates, interest accruals, and loan risk categories, replacing fragmented spreadsheets and manual data pulls. Automated CDC pipelines using PostgreSQL and AWS DMS, achieving <3-second sync latency and powering loan servicing dashboards accessed by over 120+ users across underwriting and collections departments.
Education
Lingaya's Vidyapeeth
Bachelor of Technology - BTech
2016 — 2020
University of Central Missouri
Master's degree
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.