Job Description
Architected and optimized complex SQL based validation frameworks to ensure completeness of data, integrity, and consistency across multiple enterprise systems. Led end-to-end source-to-target reconciliation initiatives, identifying data breaks, root causes, and control gaps across large-scale datasets. Designed and developed executive-ready reconciliation dashboards and operational KPI views to monitor data quality trends, exception volumes, and processing health. Automated reconciliation and validation workflows using Python (Pandas, notebooks, scripting), significantly reducing manual effort and improving auditability. Built scalable Power Apps solutions and workflow automations to streamline reconciliation intake, exception triage, approval workflows, and operational tracking. Defined and maintained robust documentation standards including SOPs, reconciliation logic, validation frameworks, and data dictionaries to support operational continuity and governance readiness. Part...