In this tech talk, Zach discusses his experience working with Parth Parekh and how his knowledge has influenced his understanding of data engineering. They cover topics such as date lists, cumulative tables, full outer joins, and processing facts. He also explores the challenges of scaling data processing and the new frontier of data engineering in the context of text models, image models, and multi-models. Throughout the talk, he emphasizes the importance of structuring unstructured data and the role of data engineering in creating labeled and structured data for machine learning models. [Recorded on 17th May, 2024]