Directed a team of employees and contractors, managing a budget, with a focus on data engineering, architecture, security, and analytics. Successfully created integrated data experiences across diverse business segments, including Consumer, Marketing, Digital, and core business functions. Directed the migration of hundreds of data sets to Azure Cloud, enhancing data accessibility, speed, and security for Analytics, Machine Learning and AI use cases. This initiative processed billions of records in batch & streaming and generated over $50M in business value.• Successfully built and delivered Azure Databricks Lakehouse data platform with Unity Catalog in short period for Consumer Office and Marketing by making data available for 90+ Web Sites and 200 + Qualtrics resulting in increase in consumer interaction by 5% and NPS score to 95%.• Successfully implemented Azure cloud projects with data ingestions from multiple sources, data enrichments, data transformations and data provision for Analytics, reporting, AI and Machine learning helping business build use cases to save time and money by making data available quickly with lean development techniques.• Implemented Infrastructure expenses saving practice by data cleaning and centralizing access control as per security guidance to remove redundant data storages resulting in 40% storage reduction and up to $2M savings.• Established best engineering practices in development, operations and testing leaning to 40% cost savings by building Automation and reusable code using Microsoft Copilot and ChatGPT.• Researched and implemented cutting-edge technologies including Azure Data Bricks Lake House, Delta Tables, Snowflake, PowerBI, and Tableau on the Azure cloud platform, enhancing data analytics and ML capabilities.• Established robust processes for Master Data Management, data governance, data security, data access management, and data protection, ensuring compliance with industry standards.

Built and led team 20+ consultants. This helped build and test healthcare data pipeline to bring massive data files to Medica Environment by working with Federal and state government IT teams to implement Healthcare Act. Defined data testing and BI strategy to deliver quality data from source system and mapped to Medica systems. This helped Medica to expand business in 3 new states and supported multiple data products from member eligibility to claim processing and BI reporting.

Built team of 15 QA and business analyst consultants. Migrated Oracle data sets to SQL server. Build Data testing strategy in high speed credit card transaction including data migration. Managed the end to end data delivery by building 100s of data testing scenarios for data correctness.

Manage planning of all testing activities for projects and production support, including testing goals, scope, timelines Responsible for defining Project Testing Strategy and test plan documentation Monitor test execution, compile summary reports and status reporting to managementEscalate issues to upper management as necessary.Responsible for generating metrics related to application quality

Manage a Team of 14 QA/BA Analysts, Worked on resource allocation and planning for multiple projects at the same time by managing available resources and skill set required for the jobManage planning of all testing activities for projects and production support, including testing goals, scope, timelines Responsible for defining Project Testing Strategy and test plan documentation Monitor test execution, compile summary reports and status reporting to managementEscalate issues to upper management as necessary.Responsible for generating metrics related to application quality Mentoring team members to ensure adherence to test methodology, test deliverables, incident management and quality managementResponsible for guiding a team of Automation Testing to identify critical business scenarios for Automation testing Reviewing the Software Test Plan

Participating in system case study and design meetings.Experience in different phases of software development life cycle such as Analysis, design, testing and implementation. Testing the GUI, Functionality and Embedded Software.Actively involved in testing software and embedded software applications. The testing involved Black box testing, Performance testing, Integration Testing, Regression testing, Load Testing, Stress testing, and Acceptance Testing. Reproduce the issues that customers found by interacting with users and providing the solutions.