• Industry wide Experience in Architecting, Consulting(Technical), Designing, and Implementing Large Scale Enterprise Solutions for end-to-end Data Warehousing, Data Engineering, Data Modelling, Big Data, Advanced Analytics & M/c Learning on Multi Cloud Platforms.• OLTP, OLAP, and Semi Structural Data Modelling (Conceptual, Logical, and Physical) and Data Engineering (ETL/ELT, Data Pipelines, Medallion Lake House)• Pre sales and Post Implementation Performance Optimization with Continuous Improvement along with Data Governance and Business Value Optimization.• Architecture and Implementation of Comprehensive Solutions with Databricks, starting from Ingestion to Analytics and M/c Learning, MLOps with MlFlow and Gen AI both Batch and Streaming of structured and semi-structured data. Migrating legacy DWH onto Lakehouse.• Supply Chain Optimization, Predictive Service, Loyalty & Fraud Detection, IoT Data Consumption, and Time Series Forecasting.• Significant Work Experience with Design and implementation of Data Platform (MPP, Distributed, and Spark) on Azure, AWS, and GCP including Capacity Planning and Throughput/Cost Optimization based on Data Ingestion and Consumption.• Graph, Spatial, and Document Data and Analytics solutions; Duck DB, Influx and Redis in memory solutions. • Experience with Business Areas such as Energy & Utilities, Finance, CRM, E-Commerce, Manufacturing & IOT.• Contribution to Roadmap Components, Architecture and Solution Building Blocks in Data and Technology Architecture• Design and Implementation of multiple Digital Transformation Projects around Advanced Analytics & ML On to The Cloud.• Gen AI Adoption for Analytics and Service use cases.• Experience in working with Customers, Vendors and Other Stakeholders for addressing their concerns and requirements, towards building Target Architecture Solutions and Trade-offs and Post Implementation Progress.• Leadership Experience in both Customer Focused and In House Technology Solution Environment with Tactical and Strategic roles.• Blend of Deep Technical Exposure and Business/Customer Focused engagements in Data & Analytics Areas. Technology Assessment and Cost Benefit Analysis.• Key Professional Certifications from Databricks, AWS, GCP, and Azure. TOGAF Certified Enterprise Architecture Professional.