In a bit of self-promotion, wanted to share a talk I gave earlier this summer at SciPy: Much of the motivation for improving the Python data engineering experience comes from pain points seen from Kedro users (including my own experience from when I was primarily a Kedro user), and the idea that Kedro is well-positioned to be the core of the Python-native "modern data stack." It's very much a community-driven thing; thanks to so many people: @Iñigo Hidalgo @Guillaume Tauzin @Mark Druffel @datajoely @Juan Luis just to name a few. If you'd like the slides: https://deepyaman.github.io/python-is-all-you-need/ Last but not least, if you are using a combination of these technologies (e.g. Kedro + Ibis + pandera, and maybe even dlt or some stuff on the BI end), and would be open in sharing more about how you use them, would love to talk! Please shoot me a message if so. 🙏