• Lead the DG program office with broad oversight over the DG program• Drive the documentation, approval, and operationalization of data policies, standards, and processes• Collaborated to identify the candidate sources for comprehensive view of the Master Data Entities.• Developed rules for accurately matching and merging instances.• Established the context of Master Data entities, including definitions of associated attributes and the conditions of their use.• Collaborated to identify improperly matched or merged instances and ensuring they are resolved and correctly associated.• Collaborated with Legal team and Info Sec team to draft the roadmap for Data Privacy & Security regulations.• Researched into using AI enabled DG tools for data classification and cataloging.• Facilitate ongoing communication to executive stakeholders across the company• Lead the Data Classification and Data Life Cycle management across the company• Manage alignment with data owners across the company• Oversee the activities of the business data stewards• Support data quality efforts including the definition of business rules• Drive the metadata initiative, including the establishments of a business glossary• Work with technology team to select and implement data governance tools• Develop a data governance dashboard to monitor the adherence of data policies, standards and processes• Work with internal audit to enforce compliance with data policies, standards and processes

• Provided team leadership and management to proactively identify and mitigate data quality issues, and respond to data source changes or outages, as well as escalations from stakeholders• Monitor key data quality and operational support metrics, as well as customer feedback signals, to identify and advocate for opportunities to create additional value for business partners, underwriters and business leads.• Prioritized data support operations need based on impact, and an ability to establish trust and improve the overall customer experience.• Partner with data managers, and data engineers to continuously improve the breadth, depth, and capabilities of our data quality monitoring and operational support tooling and processes.• Ensured stability, availability, and performance for Data and Analytics Infrastructure eco-system (ETL processing, storage in data warehouse, integration to analytics engines, through data visualization applications and monitoring tools).

• Design, develop, test and deploy Enterprise Data Quality framework using Big Data and Informatica Data Quality, Informatica Enterprise Data Catalog.• Develop, modify and review design specifications for the requirements and liaison between common components & development teams. • Extensively using Informatica Data Quality (IDQ) profiling capabilities to profile various sources, generate score cards, create and validate rules and provided data for business analysts for creating the rules.

Working as a Tech Lead for Enterprise Landing Zone project, involving BigData.

Working as a lead for the data integration projects.

Working as a lead in Salesforce automation of iRep, which is a life sciences industry’s most advanced cloud-based CRM system.

• Expertise in Informatica Power Center extracting data from Oracle, SQL Server and DB2 databases. • Extensive experience in Extraction, Transformation and Loading of data using Informatica from heterogeneous sources.• Strong ability to analyze source systems and business requirements, identify and document business rules, design data architecture for cohesive decision support and prepare dimensional data models.• Extensive knowledge of Dimensional Data Modeling like Star and Snowflake in designing tools like Erwin.• Extensively worked in development of Informatica mappings and Workflows• Involved in gathering requirements from Business and converted them into Technical documents.• Designed and developed mappings with optimal performance using Aggregator, Joiner, Normalizer, Rank, Sequence Generator, Un-Cached & various kinds of Cached Lookup, Connected-Unconnected-Source Target pre and post load Stored Procedure Transformations, Update Strategy, Union etc.• Requirements gathering & analysis• Creating Tech specs• Allocation of tasks, coding, conduct code reviews• Performance tuning• Testing• Onsite offshore coordination.