Suman reddy Gaddam

Suman Reddy Gaddam is a data engineering and enterprise systems professional whose career has been shaped by a consistent focus on operational reliability, regulated-data stewardship, and performance optimization across mission-critical platforms. Over nearly a decade of progressive experience—beginning as a SQL Developer in 2016 and advancing through roles at Bank of America, Fidelity Investments, Florida Blue, and most recently Epsilon Data Management—Gaddam has built and optimized data pipelines and database systems that power compliance screening, healthcare claims payments, institutional investment analytics, and large-scale marketing automation.

Gaddam’s technical foundation is anchored in Oracle PL/SQL and high-performance SQL engineering, complemented by Unix and automation tooling that enables large enterprises to run predictable, repeatable workflows at scale. His capabilities span SQL performance tuning, shell scripting, Python-based automation, and ETL operations using SQL*Loader, Control-M, Pro JS Scheduler, and Oracle Warehouse Builder, along with day-to-day engineering systems such as Git, Azure DevOps, TOAD, SQL Developer, Informatica PowerCenter, JIRA, and BI layers including Power BI and Tableau. This combination—database depth plus operational automation—positions him to handle the “last mile” realities of production data platforms: orchestration, monitoring, reliability, and latency control.

Since May 2022 at Epsilon Data Management, Gaddam has taken end-to-end ownership of batch workflows using Pro JS, Unix, and Python on Auto Cadence, a marketing automation platform supporting approximately 70% of U.S. auto dealerships, including brands such as Rolls Royce, BMW, Volvo, and others. The platform orchestrates omnichannel marketing actions across email, phone, SMS, and digital channels—workloads that require strict scheduling discipline and dependable data ingestion. In this environment, he restructured and optimized Oracle packages to deliver a reported 35% improvement in batch performance, and built automated ETL workflows that process external-source data into Oracle databases while sustaining 24/7 production operations. The outcome is not only faster batches but also higher operational confidence: predictable cycles, reduced manual intervention, and resilient workflows under continuous demand.

Earlier, at Bank of America, Gaddam contributed to compliance-critical platforms where correctness and auditability are paramount. On the Entity Scanning Solution and the Global Utility for Enterprise Screening (GUES), he developed SQL/PLSQL modules supporting OFAC screening and enterprise regulatory compliance—handling sensitive watchlist pipelines and automation utilities for data migration. His work supported transitions between scanning tools while maintaining zero-downtime operations, and the GUES implementation helped reduce false positives by ~20% while enabling real-time scans across millions of customer profiles. In regulated financial environments, reducing false positives is not a mere “optimization”—it reduces operational burden while improving the precision of risk controls and customer experience.

At Fidelity Investments, his work moved into institutional analytics. For PB Optimize, he developed PL/SQL APIs, materialized views, and data extracts supporting real-time analytics for hedge fund clients leveraging multi-prime brokerage data. He also tuned SQL queries powering portfolio optimization dashboards and developed Power BI visualizations, driving a reported 40% performance improvement in the analytics experience—an outcome that directly affects usability and decision velocity for demanding investment users.

In healthcare, at Florida Blue, Gaddam helped maintain the Diamond Finance claims payment gateway—an environment with high throughput and strict privacy expectations. The system processes 400,000+ health claims per day and routes $20B+ annually, requiring robust batch operations, dependable ETL pipelines, and HIPAA-aware handling of sensitive data. His work included managing large-scale batch jobs, building dimensional models for analytics, and delivering performance improvements reported up to 40%, supporting timely provider payments and operational continuity.

Across these roles, Gaddam has consistently contributed to platforms serving large populations and high-value transactions: Auto Cadence influencing marketing ROI for the majority of U.S. auto dealerships, PB Optimize enabling portfolio analytics for institutional clients, compliance screening systems operating across millions of customer profiles, and healthcare claims routing with enormous daily volume. He has also contributed to collaborative leadership through active participation in Agile ceremonies—sprint planning, backlog grooming, and technical design discussions—sharing database optimization approaches and pipeline architecture practices that strengthen team capability.

Taken together, Suman Reddy Gaddam’s profile reflects a practical, production-oriented data engineering career: building automation that keeps platforms running, optimizing databases for real-world throughput, and operating within environments—finance and healthcare—where compliance, privacy, and reliability are core system requirements rather than optional features.