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Futureproof your career and master the idea of T-Skills! As Data Engineers we have a choice to make right now, given the new AI world:
Go deeper into their Engineering skills and become the 5% who still apply their craft to solve the very complex data use cases.
Go broad and increase their other skills, because (per Shane) 95% of the Data Engineering work will be democratized for the common data use cases.
Plus a few bonus insights, and revisiting old data lore as well.
Support the show
Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.
Connect with Chris on LinkedIn or learn more at gambilldata.com.
Send us a text
Futureproof your career and master the idea of T-Skills! As Data Engineers we have a choice to make right now, given the new AI world:
Go deeper into their Engineering skills and become the 5% who still apply their craft to solve the very complex data use cases.
Go broad and increase their other skills, because (per Shane) 95% of the Data Engineering work will be democratized for the common data use cases.
Plus a few bonus insights, and revisiting old data lore as well.
Support the show
Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.
Connect with Chris on LinkedIn or learn more at gambilldata.com.