What if we treated data engineering systems the way world-class hardware teams treat products headed for mass production?

John Teel (Texas Instruments) has spent years taking complex hardware from prototype to dependable, high-quality production at scale. In this talk, Dan borrows those “production-grade” principles - predictability, repeatability, and ruthless attention to failure modes, and translates them into practical patterns for building data platforms on AWS.

This is less about any single AWS service and more about building data systems that behave consistently, even as requirements, volumes, and teams change.

What you’ll learn:

Attendees will leave with practical, reusable approaches they can apply immediately:

• How to make systems maintainable
• How to keep costs efficient without heroics
• How to borrow best practices across engineering disciplines

About the Speaker

Dan is a community driven data engineer and now c-level team builder working with a wide range of Data technologies in the cloud. He is on the steering group for the biggest tech conference in London - BigDataLDN. He has won a number of awards, including being named in the top 50 data leaders and influencers in the UK.