Generative AI is transforming the field of data engineering by automating complex processes such as data augmentation, cleaning, integration, and anomaly detection. Unlike traditional AI, which focuses on analysis and prediction, Generative AI creates new data based on learned patterns. This capability improves data quality, enhances efficiency, and enables scalable solutions. However, challenges like data privacy, model bias, and ethical concerns must be carefully managed. As AI technology advances, its role in data engineering will continue to expand, leading to more intelligent and automated data workflows.