Scalable Data Pipelines

Let’s say you’re a data engineer at a rapidly expanding e-commerce company, and the volume of daily transactions has increased from 10,000 to 100,000 over the past year.

How would you approach designing or adapting your data pipelines to ensure they remain both scalable and reliable as the business continues to grow?