Explore an ETL solution for transforming telemetry data into CSV files using Python, Spark, and Azure Databricks in this EuroPython 2021 conference talk. Learn how Tenova, an engineering company, collects and processes data from industrial equipment to support data scientists and process engineers in developing analytics solutions and retraining AI models. Discover the implementation of Databricks Notebooks that leverage PySpark and Pandas to manipulate raw JSON Lines files into formatted CSVs, meeting specific requirements such as device-specific data, daily file generation, and midnight value recording. Gain insights into the architecture, variable handling, and various notebook functionalities involved in this data transformation process, as well as the integration with Azure DataFactory for daily execution.