Traditional data engineering frameworks are being pushed beyond their limits as enterprises generate massive volumes of data at unprecedented speeds.Scalability, real-time processing, and automation are the core challenges in modern data systems.Cloud-native architectures, streaming architectures, and AI-driven data ecosystems are key to addressing these challenges.The future of data engineering lies in AI-powered self-healing systems, autonomous data governance, and real-time anomaly detection.