The Gen AI Shift: Data Engineering Redefined

In this episode of Data Analytics Chat, host Ben Parker talks with Shashi Kumar, Head of Data Engineering & Analytics at Hearst, to explore how the rise of generative AI is reshaping the role of data engineering.

Whether you’re an aspiring data leader or a hands-on engineer, this episode is packed with practical insights, career advice, and how top organisations adapt to the new AI landscape.

You’ll learn:

• How Shashi transitioned from DBA to senior data leader and what helped him stand out
• The key skills, tools, and certifications that are shaping the modern data engineer
• How generative AI is changing data architecture, pipeline design, and collaboration
• Why governance, unstructured data, and real-time pipelines are now mission-critical
• What strategic investments should companies make to scale Gen AI effectively

00:00 Introduction and Guest Welcome

00:41 Shashi Kumar's Career Journey

03:42 Transition to Leadership

05:44 Key Career Moments

08:57 Facing Career Setbacks

11:31 Skills for Success in Data Engineering

16:50 Impact of Generative AI on Data Engineering

20:52 Modern Data Engineering Tools and Skills

24:21 Collaboration Between Data Engineering and Data Science

28:42 Modern Data Architectures and Gen AI

33:57 Strategic Investments for Gen AI Adoption

34:46 Conclusion and Final Thoughts

Thank you for listening!