• Lead data initiatives, rolling out OpenMetadata data cataloging tool; integrating metadata of multiple systems (Redshift, Tableau, DBT test and others).• Established Data Quality Framework & data quality certification process. Supported data owners to certify more than 250+ tables.• Developed Tableau dashboards for enhanced data quality reporting.• Draft data governance strategy & plan.• Maturity Assessment & roll out Role Based Access Control (RBAC) for systems like Tableau & Redshift.

• Lead data quality and governance initiatives, defining strategies and frameworks to ensure accuracy and reliability of data across the organization.• Lead and manage data engineering team of 8 engineers to implement in-house data quality/validation tools, resulting in significant improvements in data quality and efficiency.• Managed cross-functional teams, including stakeholders from data platform, data science & data engineering teams.• Scaled data quality to 4 data quality checks every second. Covering 3000+ tables with 35000+ data quality rules.• Data Platform cost optimization - Saved $125,000+ (USD) in processing cost at Hadoop system based on cost-value matrix.• Successfully implemented OpenMetadata (open-source tool) for effective metadata management and drive data-driven culture

Managing a team of 10 QA Engineers to drive quality of internal data applications. Shaping data quality strategy : Maturity assessment and define strategy with plan from As-Is to To-Be transformation

• Established data management frameworks and policies, onboarded data domains, and performed data validation across various stages to improve data accuracy.• Defined data sharing policies, Stoddard and process to govern data sharing across government agencies.• Defined data cleansing process to automated detection and data standardization. • Defined 5+ data quality policy, standards by collaborating with stakeholders, ensuring compliance with regulatory standards.

• Achieved data-driven status for OSN, improving data quality scores, by implementing frameworks and validation processes.• Enriched data governance frameworks to include data classification, lineage and metadata management, enhancing overall data governance practices.• Defined data migration standards, process and data test strategy for moving data to cloud.

• Designed and implemented technical solutions for data quality frameworks, encompassing profiling, cleansing, and monitoring in align with Health Authority of Abu Dhabi (HAAD) compliance requirements.• Lead end-to-end processes supporting data quality and Unified Data Model (UDM) using snowflake schema for dimension modelling.• Developed and implemented data quality control processes for large datasets, including validation checks and error correction rules.• Evaluation of data quality tool and later support in implementation of Informatica Data Quality.• Defined data quality policy, standards & processes.

• Partner with cross-functional team to define enterprise-wide data quality and master data framework requirements.• Collaborated with cross-functional teams to define enterprise-wide data quality and master data framework requirements.• Work on multiple Master Data domains like Supplier Master Data (SMD), Legal Entity MD, Facility MD, Organization MD, and others.• Define and implement data governance process for addressing on-going data quality exceptions.

• Partner with cross-functional team to define enterprise wide data quality framework requirements.• Define, manage and implement enterprise wide data quality frameworks like data quality rules framework, data reconciliation framework, data profiling framework, data monitoring framework and data matching frameworks for strategic initiatives and on-going data operations needs.• Define and implement data governance process for addressing on-going data quality exceptions.• Leads end-to-end process and methods supporting all areas of business intelligence and data warehouse delivery to increase quality including process compliance and data controller ship capabilities. • Prepare enterprise level data quality dashboard for senior management. • Works closely with customers to capture, analyze and document business and functional requirements.• Facilitates business intelligence team(s) through identifying and implementing process improvements. • Work with team to manage and prioritize development projects and enhancement and maintenance requests. Enforces adherence to processes and mentor team members to grow into new roles and responsibilities. • Designs and implement metric analysis and reporting to identify process improvement opportunities