Master Data Management - My recent experience includes consulting a healthcare client to onboard Informatica MDM 10.4 for mastering the Member data across the country from 9 different data sources, which were all different from one another. Data migration/Data Integration - I have led the teams to create integration solutions for an Snowflake Data Warehouse Implementation via Informatica Intelligent Cloud Services for an healthcare client and create data migration strategy for an ERP Implementation. Data Governance & Data Quality - I am responsible for consulting clients across different industries to implement Data Quality Standards and Monitoring solutions in order to maintain high standards of data across the organization. In this role I have successfully led teams across 3 different industries - Distribution Management, Waste Management & Wireless Communication services - to implement Data Quality Profiling, Score-carding and Data Quality Monitoring solutions using Informatica Data Quality 10.2 & 10.4 as a tool. All of this was done keeping Informatica standards in mind. Also, I have contributed in developing Automated Data Quality Monitoring Frameworks so that the overall health of Data can be Monitored by Data Governance and the leadership of the organization on a daily basis.My Experience includes :- • Master Data Management via Informatica MDM (on Prem and MDM SaaS)• Data Migration and Integration via IDMC • Data Profiling and Dashboards • Data Standardization - External Services • Data De-Duplication Checks - Match & Merge • Data Quality Monitoring Frameworks. (Using Informatica developer as a tool.) • Dashboards (Operational and Visualization)

Working with Global Architecture for the Data Quality Initiative across the whole of Fidelity International. I was primarily working under Investment Management and Fund Accounting Department which provided me the opportunity to interact with the investment professional directly across various locations to provide them with a business solution using Informatica Data Quality as a tool to identify potential breaks in the system.My Experience Includes :-1. Part of Global Data Architecture & Shared Data Services 2. Data Quality Lead (India office) - Team of 43. Know how of Investment Management and Fund Accounting Data - Market Reference & Back Office Data 4. Informatica Data Quality Tool - Upgrade v 9.1 to v10.15. Data Quality - Deployment Automation via IBM Urban Deploy & Linux Shell Scripting6. Workflows Scheduling - via BMC Control-M7. Data Management Dashboards - via Oracle Apex 8. Data Quality Monitoring - Automation Frameworks - IDQ v10.19. Charles River (Trading Platform) - Data Quality Solutions 10. Data Management - Understanding Data Architecture and Business Rules11. Data Governance - Liaising with Data Stewards for Data Standards.12. Compliance - Proactive Monitoring of Potential Compliance Breaches.

As a part of the Data Quality Function under Data Strategy for Fidelity, I was responsible for the below :- • Creating Profiles/Scorecards/Rule/Mapplets • Deployment Scripts• Analyst Dashboards• Informatica Mappings - Optimization• Data Consistency DQ Checks• Reference Data Management

As a part of this role, I was responsible for creating Customer centric Database and a warehouse. The whole process consolidates the data from various sources and then perform the validity checks to restrict the data data in the final layer of the OLTP and the OLAP systems.As a Development Engineer, I was involved in :- • Gathering the Requirements and Change requests from the Clients.• Do the Requirement Gathering and provide the quotation to them.• Design the requirement and build the Technical Specification Document.• Do the Coding and Unit testing• Integration testing of the code as well.• Resolve the QA and UAT anomalies (if the anomalies arrive). The QA and UAT are done after every (quarterly) delivery at the customer’s end.• Resolve the Production anomalies as well.• Provide the support for the Production Roll out as well.• Also worked on the agile mode where I had to work on XSLT.