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Dipankar Kushari

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Dipankar Kushari

2

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Lead Specialist Solutions Architect Databricks

Dipankar is a Lead Specialist Solutions Architect with Databricks, helping customers build data analytics and AI platforms and solutions and helping them solve some of the toughest problems. He has a keen interest in distributed computing. Prior to joining Databricks, Dipankar worked as the Senior Specialist Solutions architect in AWS publishing numerous blogs, video blogs, creating whitepapers and helping customers build their analytics solutions.

Bio from: Data + AI Summit 2025

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Powering Secure and Scalable Data Governance at PepsiCo With Unity Catalog Open APIs

PepsiCo, given its scale, has numerous teams leveraging different tools and engines to access data and perform analytics and AI. To streamline governance across this diverse ecosystem, PepsiCo unifies its data and AI assets under an open and enterprise-grade governance framework with Unity Catalog. In this session, we'll explore real-world examples of how PepsiCo extends Unity Catalog’s governance to all its data and AI assets, enabling secure collaboration even for teams outside Databricks. Learn how PepsiCo architects permissions using service principals and service accounts to authenticate with Unity Catalog, building a multi-engine architecture with seamless and open governance. Attendees will gain practical insights into designing a scalable, flexible data platform that unifies governance across all teams while embracing openness and interoperability.

Demystifying Upgrading to Unity Catalog — Challenges, Design and Execution

Databricks Unity Catalog (UC) is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. UC provides a single source of truth for organization’s data and AI, providing open connectivity to any data source, any format, lineage, monitoring and support for open sharing and collaboration. In this session we will discuss the challenges in upgrading to UC from your existing databricks Non-UC set up. We will discuss a few customer use cases and how we overcame difficulties and created a repeatable pattern and reusable assets to replicate the success of upgrading to UC across some of the largest databricks customers. It is co-presented with our partner Celebal Technologies.