• Work with Account Teams, Project Sponsors and Product owners to conduct workshops for customers.• Develop a high-level plan and build a backlog with Epics and Features.• Work with technical teams to write user stories and build a detailed backlog. • Work with product owner to gather requirements and define the scope.• Work with Scrum master to conduct daily stand ups, sprint reviews, sprint demos and sprint ceremonies.• Lead architecture, design and build of Modern Data Platform (Delta Lake) for NCR on Azure Databricks using technologies such as Spark Steaming, Scala, Python, Event Hub, Kafka, and Spark SQL. The data in delta lake is used to build gold layer, do advanced analytics and expand their ML Portfolio for Financial Services, Retail and Hospitality customers.• Build Lakehouse Architecture including Raw, Bronze and Silver layers. Data ingestion formats included JSON, XML and CSV. The data is stored in delta tables.• Build pipelines using python/scala in databricks to stream data from multiple real time sources through event hub and Kafka. The pipelines flattened, de-duped and enriched the data using structured streaming. The data is stored in databricks delta tables and is rendered using Power BI/Databricks dashboard to show real time data processing. • Quarantine bad data in dedicated ADLS locations based on the rules defined.• Apply aggregations to transform data and store in different data zones/tables and are rendered using Power BI/Databricks/AppInsights dashboards.• Data Modeling and architecture of custom process for loading and testing training data.• Reverse engineered ADX Kusto queries to SQL.• Perform POC for migrating Geico’s Telematics batch scoring pipeline to Realtime using Spark Streaming, Azure Event Hubs, Event Subscription, Azure Machine Learning Batch & Realtime Endpoints and Azure Functions.• DevOps POCs for deploying AML models with approval workflow in production using Azure LogicApp and YAML Azure Pipelines.

• Created migration assessment report for migration to AWS Redshift using SCT.• Migrated revenue and payment cycle management system for Change healthcare. Managed daily activities of data warehouse migration from Netezza to Cloud Data Warehouses such as AWS Redshift.• Worked with Architects and developers to design and develop data, metadata ingestion and ETL jobs using AWS Data Pipelines, AWS Glue Crawlers and AWS Glue jobs using Lambda.• Worked with AWS Partner to standup the non-prod and prod AWS Redshift clusters and to deploy SCT on Dev and Prod instances.• Contributed to data model development for Cloud Data Warehouses.• Converted C++ User Defined Functions on Netezza to Python UDFs.• Used version control systems like GIT and Source code management client tools like GitBash, GitHub, Git Lab.• Leveraged Optimization Strategies and Rules in AWS Schema Conversion Tool.• Experimented different encoding methods in AWS Redshift to see compression ratios of each column in a sample table using different encoding algorithms.

• Provided management, leadership, and expertise on customer engagements, ensuring cloud migrations, MPP platforms, data warehouse and Big Data solutions were appropriately architected, designed, and implemented to customers’ business and technology requirements.• Managed, designed, and deployed very large data warehouse applications on cloud databases, including AWS Redshift, Snowflake & MPP platforms such as Netezza, NPS and IIAS platforms. • Delivered technology briefing and workshops, supporting sales cycle.• Led POC activities in highly competitive sales cycle such as creating test cases, defining success criteria, generating application migration scripts, integrating 3rd-party tools, and ensuring successful execution of the POC to close the deal.• Delivered training for new customers on Netezza administration, development, integration, and best practices.• Developed and executed proof of concepts (POCs) for migrating Legacy database including Oracle, Netezza, DB2, Sql Server to cloud data warehouses such AWS Redshift, Snowflake and DB2 Warehouse on Cloud.• Conducted Solution Architecture workshops for various customers.• Developed Data Modernization offerings to support IBM Datawarehouse Solutions Sales.• Led IBM team offering migration assessment & strategy workshop with 30+ client SMEs. managers and executives for a large auto financial services customer.• Led POC for migration of Teradata data warehouse to IBM Big Data Stack on Hadoop.• Led design and development of Data Lake solution for a telecom customer. Led discovery, architecture and solutioning workshops with many customers to perform architectural assessment of systems, capturing non-functional requirements, challenges, future growth, and capability needs.• Key contributor in leading solution assessment and development for the largest bank in India with deal size of $50M. Met customer, providing confidence about IBM solution, methodology, and capabilities. •

• Architected and designed large data warehouse system called Product Supervision System for legal and compliance to provide optimum account supervision tools, stringent Financial Advisor (“FA”) alert/variance notification process, and robust reporting functionality to system to ensure investment accounts were managed to meet client investment objectives, within product investment guidelines, through review of daily account activity. • Managed, architected, and designed Datawarehouse and ETL architecture to store green buildings data sourced from various NYC agencies, improving energy efficiency of buildings for WHS(DoD).• Performed data warehouse design and data modeling for TD Bank Visa Credit Rewards card and Commercial Lending DataMart. • Designed and developed data warehouse system to store facilities management tasks such as equipment maintenance and building services and energy management tasks such as retrofits.• Designed and developed a sales and inventory data warehouse in Teradata for Charming Shoppes.• Architected, designed, and developed very large Data Warehouse for package misloads for UPS.