You are working as a data scientist for a food product company. The company has a significant amount of historical sales data stored in BigQuery, which you need to analyze. Your goal is to use Vertex AI's custom training service to train multiple TensorFlow models. These models will read data from BigQuery and predict future sales. Before you start experimenting with the models, you plan to implement a data preprocessing algorithm that includes min-max scaling and bucketing on a large number of features. Given constraints on minimizing preprocessing time, cost, and development effort, how should you configure this workflow?