Data & AI architecture for modern analytics

I’m Bipin Pothody, a Data & AI Architect with 25+ years of experience. I’ve spent more than 15 years architecting enterprise data platforms, with the last decade focused on lakehouse architecture, data governance, and AI-driven analytics..

I led one of the largest Data Lakehouse programs at a Big 4 consulting firm, delivering a governed Medallion Lakehouse on Azure Databricks and Unity Catalog that consolidated enterprise-wide network, infrastructure, and operational data across global regions. I’m currently building an AI-ready data lake in Microsoft Fabric for the firm’s entire supply chain data. Most recently, I’ve been designing agentic AI solutions using Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Azure AI Foundry, and Fabric Data Agent.

Core strengths

• Start with outcomes, constraints, and the reality of the current estate.
• Prefer incremental modernization over risky “big bang” change.
• Make governance, security, quality, and cost part of the design.
• Pair architecture with documentation, coaching, and hands-on delivery.

Whether you are shaping a Fabric adoption plan, building a Databricks lakehouse, modernizing Synapse workloads, or preparing data for responsible AI, I combine deep technical solution architecture with program leadership, cross-functional team management, and direct client engagement—partnering with senior stakeholders to translate business needs into scalable, AI-ready data platforms. Brings strong expertise in Microsoft Power BI and Power Platform for enterprise analytics, reporting, and low-code automation.