Utilize a data pipeline with built-in transformation activities, as it offers a straightforward way to handle transformations without additional costs.

Develop custom code snippets within the data pipeline for transformations, providing maximum flexibility but requiring significant maintenance.

Implement a dataflow to perform the complex data transformations, leveraging its advanced capabilities for efficient processing, and then integrate the results into the data pipeline.

Combine multiple data pipelines, each with different transformation activities, to distribute the processing load and enhance scalability.