Suresh Nagam has nearly 10 years of experience in information management and analytics for financial services and healthcare. He has specialized expertise in requirements gathering, solution architecture, technical design, business analysis, implementation and release management. Some of his key clients include Broadridge Financial Services, DTCC, BCBS, Walgreens, General Motors, and Timberland LLC.

1. Suresh Nagam
Experience
Key Clients
Qualifications
 Master Of Computer
Applications, Hyderabad, India
 Broadridge Financial Services
 DTCC
 BCBS
 Walgreens
 General Motors
 Timberland LLC
 Suresh specializes in Information Management and Analytics for Financial Services as well as health care services .
Suresh has nearly ten years experience in Technology with expertise in Requirement gathering, Solution
Architecture, Technical design, business analysis, implementation and release management for enterprise wide
applications.
 Suresh specializes in Master Data Management, Data Quality, Data Governance, Hierarchy Management, Data
Security, Reference Data, Business Intelligence, Enterprise Data Warehouse and Analytics
 Implemented large Datawarehouse, Datamart for BCBS and a performance oriented Operational Data Store for
Walgreens. Built Audit Functionality, Archive Purge mechanism and Disaster mechanism
 Implemented Re-Engineering, Re-Platforming and Reusable architecture for the existing tightly coupled applications
to reduce the report turn around time for a large US based multinational financial services corporation
headquartered in midtown Manhattan, New York City. These implementations include:
• Designed whole tax application to generate 1099 Int & OID forms.
• Converted (Golden Gate Replication + Green Plum PLSQL functions) to ETL Datastage architecture
• Designed reusable architecture to replicate tables from Oracle to Greenplum
• Data Quality
• Architectured, Designed, Developed Datastage process for all DTCC assets of EQUITY, FX, Commodity,
Credits, Rates with capacity planning, server configuration
• Master Data Management & Reference Data Management
• Analytics
 Focus includes metadata management, strategic blueprint and roadmap for enterprise data management platforms,
identity Resolution, workflow management, requirements gathering, database design, Data models, prototyping,
software development, quality assurance, project management, business analysis, data analytics, service oriented
architecture, data integration and release management.