Understanding product briefs with respective to data analytics platform and working with clients to fine-tune them.Taking charge of data platform capabilities development by working with key strategic vendor teams from Microsoft and Databricks and various outsourcing providers.Preparing budgets, allocating resources, and delegating tasks.Ensuring product development is on track and adjusting schedules as required.Prioritizing and supporting the work of multiple consumer-facing products.Providing a cohesive vision across the organization for enterprise data analytics tools and capabilities. Defining product strategic road maps and working closely with team to deliver.

Managed data analytics and data science project portfolios for one of the largest US Retail Pharma Customer.

• Understand customers’ overall data estate, IT, and business priorities and success measures to design implementation architectures and solutions.• Applied deep azure technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Analytics, and AI roadmaps, and ensure long term technical viability of new deployments, using key analytics technologies where appropriate (e.g., SQL Server, Azure Synapse, Azure Data Factory, Delta Lake, Azure Databricks)• Developed strong relationships with key customer IT decision-makers and relevant business stakeholders on Analytics who drive long-term cloud adoption within their organization to enabled them to be cloud advocates.• Collaborated with Microsoft Cloud Solution Architects and Databricks stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms.• Lead enterprise data-warehouse modernization engagement, a strategic initiative to move the existing on-prem data-warehouse to Azure Delta lake-warehouse platform. Have provided an end-to-end solution with simplified architecture. Single delta lake-warehouse system is designed to help organizations curate data needs for all reporting on Sales, invoice, Inventory, quota, Territory management, and third-party downstream reporting platforms like Salesforce, Cognos, and Power BI.• Designed and developed enterprise data-warehouse solutions that will suffice the decision-making systems and enable Executive Management, Finance, Sales, and Marketing, supply chain management stakeholders. Implemented solutions to integrate disparate data sources from various ERP systems as part of Integration and acquisition projects to Data Warehouse.• Implemented data extraction, transformations, and loading processing for a complex sales reporting enterprise Data Warehouse using IBM Data stage tool and Microsoft SQL server for various subject areas.