Rakesh Gupta, a technologist, used dlt for ingesting large datasets in various projects, including building a RAG stack for UK property data and an edge analytics pipeline for IoT systems. He found that dlt worked well without adding complexity, and its ingestion layer kept showing up across different stacks and problems. In another project, he used dlt with Microsoft Fabric's Python environment to build a fully native workflow inside the platform, pulling data from APIs, storing it in the Lakehouse, and enabling self-service exploration using Fabric's built-in tools. Despite trying other tools and environments, Rakesh kept coming back to dlt because of its simplicity, reliability, and good enough-ness not to get in the way of what he needed to build.