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About the Book
Design-Driven Data Engineering is a practical, end-to-end guide that teaches you how to build modern data systems by starting where it matters most: business design.
Instead of jumping straight into tools, frameworks, and cloud services, this book shows you how to think like a data architect—translating business needs into elegant data models, scalable architectures, clean pipelines, and analytics systems that deliver real value. You will learn a structured, design-first methodology that applies to every platform, whether you work with SQL databases, modern lakehouses, or fully cloud-native solutions.
Through clear explanations, examples, and actionable patterns, you will discover how to:
- Use design thinking to analyze business processes, events, and data requirements
- Turn business workflows into conceptual and logical data models
- Design robust schemas, warehouse/lakehouse layers, and medallion architectures
- Build ingestion, transformation, and orchestration pipelines that scale
- Implement governance, metadata, lineage, and quality frameworks
- Create semantic models for BI and analytics
- Bring together databases, pipelines, cloud services, and automation into a coherent, maintainable system
Whether you are a data engineer, analytics developer, architect, or technical leader, this book provides a blueprint for designing systems that remain flexible, scalable, and resilient as your business evolves.
Design-Driven Data Engineering gives you the clarity, structure, and patterns you need to build data platforms that don’t just work—but work elegantly.
About the Author
Kevin Languedoc is a senior data engineer and software developer with deep experience in analytics systems, cloud platforms, and enterprise data architecture. He has designed and delivered end-to-end data solutions across multiple industries and teaches practical, design-focused approaches to modern data engineering.