Last Friday at PyData Seattle 2025 , I gave a talk called "Taming the Data Tsunami." Room full of data engineers who've lived the same journey I have—Pandas on our laptops, then Dask clusters, then figuring out how to make everything talk to each other with Arrow. The nods of recognition when I showed our successes? Expected. The uncomfortable silence when I showed what we've accidentally built? That caught me off guard. We've been so good at democratizing data analysis that we've created an entirely different problem. Most of us haven't noticed yet. The Journey From Here to There If you've worked with data in the past 15 years, you know this story. 2008: Pandas changed everything . Wes McKinney , frustrated at AQR Capital Management with the tools available for data work, built something better . Suddenly your entire dataset fit in memory and you could manipulate it like a spreadsheet that didn't crash. No batch jobs. No Excel limitations. Just you, data, and a Jupyter notebook.…