

Data Governance & Data Quality professional with ~7 years of experience designing metadata-driven DQ frameworks, establishing trusted data processes, and improving regulatory reporting outcomes. Skilled in data quality controls, data lifecycle management, metadata modeling, ownership alignment, and cloud-native governance using Snowflake and Python. Experienced in collaborating with business stakeholders, translating operational requirements into governance rules, and uplifting governance maturity through standardized processes and measurable trust metrics. Domain exposure includes Finance and Healthcare, with strong conceptual understanding of Supply Chain & Logistics data.
Data Governance & Management:
Data Governance Frameworks, Data Ownership & Stewardship, Data Cataloging, Data Policies & Standards, Data Privacy & Compliance, Data Lineage, Master & Reference Data Quality, Governance Metrics & Scorecards
Data Quality & Engineering:
Data Profiling, Rule Frameworks, Anomaly Detection, Data Validation, DQ Controls, Exception Management, Remediation Processes, Root Cause Analysis
Cloud & Tools:
Snowflake, Snowpark, AWS (IAM, S3, EC2), SQL, Python, Talend, GitHub, SAP HANA, Databricks (basic), Power BI
Processes & Leadership:
Requirement Gathering, Business Alignment, Stakeholder Collaboration, Mentoring, Documentation, CI/CD, SDLC