
In this episode, Arturas, Engineering Manager & Data Platform Lead at KAYAK, cuts through the hype on data engineering. From early PHP days to leading petabyte-scale platforms, he shares the hard-earned lessons behind building real data systems in the age of AI. We dig into the biggest misconceptions, the data quality crisis, why tools are just “opinions,” and what the future holds for data engineers when AI starts writing pipelines.
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