Teams at EXL

Designs and oversees organizational data architecture and conceptual, logical, and physical data models. Translates business requirements into scalable data solutions, develops data flows and modeling standards, maintains metadata and documentation, evaluates databases for discrepancies, and identifies model reuse opportunities. Partners with application development teams and provides executive guidance on high-impact data initiatives aligned with organizational goals.

Leads enterprise data management implementations for insurance clients, including requirements gathering, data profiling, documentation, discovery and design sessions, solution configuration, data modeling, mappings, rules, reporting, and deployment. Analyzes large datasets using SQL in data warehouse environments, collaborates with client and internal teams, and supports strategic data informatics initiatives and executive presentations.

Design and develop Java Spring Boot backend microservices for a Master Data Management platform, including data ingestion, validation, match-merge, golden records, workflows, REST APIs, and downstream integrations. Build AWS-based processing and orchestration solutions, implement security controls, optimize performance, write tests, support containerized CI/CD deployments, and contribute to architecture, documentation, code reviews, and Agile delivery.