This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services.

Learn to design next-generation data architectures-from data lakes and data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights.

Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques-he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition.

What You Will Learn:

• Master the core principles and practices of data engineering to build a long, successful career in the field.
• Accelerate your impact using AWS cloud services for scalable, modern data solutions.
• Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.
• Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.
• Design and deploy modern data architectures-including data lakes, data mesh, and data marts-and understand when to use each.
• Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.
• Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.
• Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact.