Powering AI with Data Modernization: ETL Using Databricks & Unity Catalog

Title: Powering AI Through Data Modernization: Modernizing ETL with Databricks & Unity Catalog

In this session, we will discuss how enterprises are modernizing their data platforms by migrating from legacy ETL tools (such as Informatica and traditional data warehouses) to Databricks Lakehouse architecture, and how Unity Catalog enables enterprise-grade governance, security, and discoverability across data and AI assets.

We will start with food and drinks at 6pm and then move into the presentation at 6:30pm.
The session will cover:

• Why traditional ETL platforms are becoming a bottleneck for scale, cost, and AI adoption
• How Databricks changes the data engineering and analytics operating mode
• The role of Unity Catalog in centralized governance
• How this foundation enables AI and Gene.AI use cases on trusted data
• Q&A

Our speaker for this event is Hirenkumar Dholariya.
Hirenkumar Dholariya is a Senior Data Engineering Architect with 18+ years of experience modernizing enterprise data platforms for global Fortune 500 organizations, delivering up to 40% system performance improvement and 20–35% infrastructure cost reduction through large-scale migration from legacy ETL platforms to cloud-native Lakehouse architectures. He specializes in Databricks-based data engineering, Unity Catalog–driven governance, and building scalable, secure, and real-time analytics platforms.

He has led multiple enterprise-wide transformations from tools such as Informatica and traditional data warehouses to Databricks, establishing governed data foundations using Unity Catalog and enabling advanced analytics and AI use cases on top of trusted data platforms. His leadership focuses on architecting durable data platforms, enabling teams to move faster with confidence, and translating data and AI investments into measurable business outcomes.

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