Wells Fargo Data Infrastructure

Engineering high-throughput ETL pipelines and migration architectures for critical banking systems.

At Wells Fargo, I engineer the backend data infrastructure that powers internal reporting dashboards. My focus is on refactoring legacy technical debt into performant, cloud-native architectures.

Core Engineering

• System Migration: Designed a high-throughput migration pipeline from MongoDB to SQL for legacy systems, achieving zero data loss and 100% data integrity validation.
• Performance Optimization: Refactored bottlenecked Python ETL scripts, reducing data processing latency by 60% to enable faster internal reporting.
• Release Management: Led monthly production deployment cycles, orchestrating code integration across multiple distributed teams and enforcing strict SDLC standards.

The "Product" Angle

While the stack is enterprise (Teradata, Informatica), the discipline is universal. I bring reliability engineering habits—defensive coding, rigorous data validation, and uptime focus—to product development.

Tech Stack

Python, SQL, Shell Scripting, GCP, Postgres, MongoDB.