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In a scenario where you are required to process data from multiple sources, perform complex transformations, and load the results into a data warehouse using Databricks, which of the following approaches would be the MOST efficient and scalable? Consider factors such as modularity, error handling, maintainability, and the ability to handle dependencies between tasks. Choose the best option from the four provided.