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Accelerating Data & AI Engineering with Agentic Coding

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Discover how AI-powered development tools are transforming enterprise Data & AI engineering—from SQL and PySpark development to modern data platform implementation.

See practical demonstrations using

  • Claude Code
  • OpenAI Codex
  • Databricks Genie
  • Claude Code
  • OpenAI Codex
  • Databricks Genie

45-minute expert webinar with live demonstrations and real enterprise use cases.

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Why Watch This Webinar?

In this webinar, you’ll learn how Agentic Coding can help your organization:

  • Accelerate Data & AI development
  • Improve developer productivity
  • Reduce manual coding effort
  • Modernize legacy data platforms faster
  • Apply AI assistants securely within enterprise environments
  • Integrate AI into real-world Data Engineering workflows

Live Demonstrations

Practical demonstrations featuring:

Claude Code

AI-assisted software and Data Engineering

OpenAI Codex

Enterprise development acceleration

Databricks Genie

Natural language interaction with enterprise data

Rather than focusing on individual tools, we demonstrate how they complement each other throughout the software development lifecycle.

Webinar Agenda

  • Introduction to Agentic Coding
  • Business Value and ROI
  • AI-assisted Data Engineering
  • Live demonstrations
  • Enterprise adoption strategy
  • Q&A

Speakers

Hitesh Sahni

Hitesh Sahni

Co-Founder, EnablerMinds Germany | Enterprise Data Engineering & Platform Expert

Hitesh brings more than 15 years of experience designing and scaling enterprise data platforms across industries including logistics, automotive, banking, and life sciences.

He has led large-scale Data Engineering and Cloud initiatives for organizations including DHL, Volkswagen, Commerzbank, and Sanofi, with deep expertise in modern data platforms, cloud architectures, and engineering productivity.

Phanindra Parashar

Phanindra Parashar

Senior AI Engineer, EnablerMinds Germany

Phanindra specializes in building advanced AI solutions for complex, high-scale environments.

His experience spans autonomous driving, intelligent forecasting, and production-grade AI systems.

Who Should Watch?

This webinar is designed for:

  • Heads of Data & AI
  • Data Engineering Managers
  • Analytics Leaders
  • Enterprise Architects
  • CTOs
  • CIOs
  • AI Engineering Teams
  • Data Platform Owners

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