Having 12+ years of rich experience in Data analytics with Azure, AWS and GCP Cloud adoption and enabling Data products by Data Engineering, Data warehouse Development, Cloud Data Ingestion, Data Curation, Data management, Data Governance, Data Quality, Data modeling, design of new Data warehouse, Datalake and lakehouse system to provide data insight for reports/KPI/Dashboard, using on Premises tools and cloud platforms on various components and ETL/ELT and streaming services. Well versed in Data transfer/migration process from EDW to cloud for various use cases, Data pipeline design, development, implementation and consultancy in adoption for PaaS services (Compute, Storage). Hands-on experience in writing and debugging complex SQL Queries, defect/issues Analysis, RCA. Experience in DevOps builds and release pipeline creation Code Deployment/verification till PROD. Ability to work in diverse stakeholder environment. Lead a team of Data - Engineers/Architects/Modelrs, SQL deveplopers and Reporting Analysts, providing them direction, assisting, and supporting to scale up the team. Drive and motivate a team to deliver on project objectives and team growth. Passion for turning ideas into products and improving the member experience. Experience in Team leading, mentoring, Stakeholder management, Cross-team collaboration, Project management, effort estimation, project roadmap creation. Expertise in Healthcare, Finance, Banking, E-commerce, Retail, Manufacturing and Pharm- Data analytics. Skilled at gathering requirements, translating the same into Business Requirement, Documents and technical solution agreed-upon SLAs & KPIs. Worked on Azure Cloud for creating analytics data using Azure. Stream Analytics, Azure Event Hubs to get it in required format. Worked on Data Models Desgining and Data Load Integration, Master Data Management & Master Data Unit process flow and relational data systems. Data Security and Integreity Policies and Used different data warehousing concepts to build a data warehouse for internal departments of the organization. Phases on Databricks to cut down large data sets from multiple source systems. Hand on experience on Data Warehouse/Lakehouse technical architecture concepts,infrastructure component and ELT process. Data Visualizations on Power BI and Tableau to build interactive dashboards and data stories. Data Integration and Transformations for data extracted from various IT systems. Develop, construct, test and maintain architectures. Align architecture with business requirements.