A data engineering team needs to ingest CSV files from an Azure Data Lake Gen2 source, apply complex multi-step transformations using PySpark logic that reuses existing custom Python libraries, and write the results to a Lakehouse Delta table. The process must run every night at 2:00 AM and the team wants to minimize the number of components in the solution. Which Fabric item should they use to author and orchestrate this workload?