Led end-to-end design of a large-scale financial data migration, consolidating multiple regional invoice sources into a unified immutable double-entry accounting system; collaborated across 4+ teams as primary technical SME, resolving critical data discrepancies ahead of cutoff deadlines with zero production issues. Architected an intelligent Data Quality & Anomaly Detection framework by benchmarking ML algorithms (Isolation Forest, Local Outlier Factor, k-NN) and DQ libraries (AWS Glue DQ, Great Expectations, Pydeequ), establishing automated validation pipelines across cloud storage and warehouse layers. Redesigned a critical revenue metric (Total Contract Value) to incorporate agreement lifecycle events; engineered an automated comparison tool that replaced 4–5 days of manual analysis with a sub-10-minute script, enabling sales planning workflows for cross-functional stakeholders. Architected a dedicated reporting cluster with encryption, secrets management, data sharing, and WLM queue configuration; led a zero-downtime parallel migration of 40+ reporting pipelines, eliminating a single point of failure that had caused multi-day business outages. Spearheaded a new product taxonomy rollout across 50+ ETL scripts spanning renewals, marketing, insights, and revenue domains; conducted phased deployments with thorough impact analysis and stakeholder communications, ensuring zero disruption to downstream consumers.