In the context of automating a machine learning pipeline for a financial services company, which phase is critical for ensuring the quality and relevance of data before model training? The company emphasizes cost-efficiency, compliance with financial regulations, and scalability to handle large datasets. Choose the best option that describes the phase primarily concerned with data pre-processing and feature engineering, considering the given constraints.