SENIOR DATA MANAGEMENT & GOVERNANCE ANALYST | DATA QUALITY & DATA CONTROLS | BUSINESS INTELLIGENCE | SQL & POWER BI | AML / FINANCIAL CRIME RISK
Senior Data Management and Governance professional with 10+ years of experience spanning data analysis, data governance, data quality, business intelligence, risk analytics, application operations, and production support across banking, financial services, AML/FCRM, and NBFC environments. Proven expertise in managing high-volume, business-critical data ecosystems, strengthening data controls, performing SQL-based reconciliation and validation, and translating complex data issues into actionable business and risk insights. Currently serving as a Module Lead at Happiest Minds Technologies, leading ETL-to-FCRM data operations supporting AML and sanctions-screening processes across 32 business units in Asia and Africa. Experienced in managing multi-stream ETL workflows, FISERV/FCRM applications, database operations, data segregation, high-availability infrastructure, alert investigation support, and governance controls while maintaining process continuity and audit readiness. Previously worked as a Senior Data Management Analyst at Wells Fargo, owning data governance and reconciliation for the Enterprise Profitability platform and maintaining 99.5%+ data accuracy across 1M+ records monthly. Designed SQL-based data control frameworks across 10+ systems, performed root-cause and exception analysis, resolved production and data-quality issues, and developed audit-ready SOPs, control narratives, data lineage, and mapping documentation supporting SOX, internal audit, and regulatory requirements. Strong background in SQL, Power BI, Tableau, SAS, Python, PySpark, Alteryx, and Advanced Excel, with demonstrated ability to develop executive dashboards, KPI reporting, risk analytics, data-quality frameworks, and automated reporting solutions. Skilled at collaborating with data engineering, business operations, risk, compliance, audit, and senior leadership teams to improve data reliability, operational efficiency, and decision-making.
Member Since
September 5, 2026
Last Active
2 months ago