I’m looking to understand the practical challenges that professionals face when building ETL (Extract, Transform, Load) pipelines on Databricks. Specifically, I’m curious about issues related to scalability, performance, data quality, integration with other tools, handling large datasets, and maintaining pipeline reliability. Have you encountered obstacles while designing or deploying ETL workflows on Databricks, and how did you address them? I’d love to hear real-world experiences, lessons learned, or tips for overcoming common hurdles in ETL development using this platform.