In your role as a Machine Learning Engineer, you are responsible for a model that relies on data from a third-party broker. This broker occasionally changes the data format without prior notice, posing a risk to the model's performance. Your team is concerned about the potential impact on model accuracy and the additional maintenance overhead. Considering the need for a solution that is both cost-effective and scalable, and that minimizes manual intervention, which of the following approaches would you recommend to enhance the robustness of your model training pipeline against such issues? (Choose one correct option)