As reported by Gartner, the demand for data engineers is projected to surge by 90% by 2025, driven by the increasing reliance on AI-driven data pipelines and the exponential growth of data volumes. This shift is poised to redefine the role of data engineers, moving them from traditional ETL processes to more strategic positions focused on designing scalable, AI-integrated data architectures that can handle the complexities of modern data ecosystems.