Master Data Engineering on AWS. Pass the DEA-C01 Exam with Confidence. This comprehensive study guide equips you with the practical skills and exam-focused knowledge needed to design ingestion pipelines, process large datasets at scale, orchestrate multi-service workflows, secure data assets, and manage the full lifecycle of analytical data on AWS. A dedicated GitHub repository is included, providing hands-on lab guidance, scripts, and datasets referenced in the recommended YouTube tutorials for this book. You’ll develop both the theoretical understanding and hands-on competence expected of a professional AWS Data Engineer. What You Will Learn Build end-to-end data engineering expertise across: Ingestion Pipelines: S3 batch ingestion, Kinesis Data Streams, MSK, Firehose, RDS & DynamoDB extraction, API ingestion, replayability, and idempotency. - Distributed Data Processing: Spark on EMR, Glue ETL, Athena transformations, tuning, debugging, format conversion, and cost optimization. - Pipeline Orchestration: Step Functions, EventBridge, MWAA, Lambda automation, dependency management, retries, logging, and failure handling. - Data Storage & Modeling: S3 architecture, Redshift design patterns, DynamoDB modeling, partitioning, schema evolution, compression, and cataloging. - Security & Governance: IAM, Lake Formation, encryption, masking, access controls, CloudTrail, Macie, Config, and PII protection. - Analytics: Athena SQL, QuickSight dashboards, DataBrew cleansing flows, notebook-driven analysis, and BI-ready data creation. - Data Quality & Operations: Profiling, validation rules, anomaly detection, CloudWatch monitoring, Glue/EMR debugging, and operational observability. - Automation & CI/CD: AWS CDK, IaC templates, SDK-based workflows, serverless automation, Glue/EMR orchestration, and deployment pipelines. 🎥 Hands-On Tutorials This guide pairs with hands-on tutorials available through the KnoDAX YouTube channel : AWS Certified Data Engineer – Associate Playlist https://youtube.com/playlist?list=PLxLENG-zbPwHaH21zuVcfs2SztzdQdivi Who This Book Is For Aspiring AWS Data Engineers - Candidates preparing for the DEA-C01 exam - Cloud professionals building real-world data pipelines - Developers transitioning into big data and analytics Why This Guide Stands Out ✔ Fully aligned with the AWS DEA-C01 exam objectives ✔ Built around real AWS workflows, patterns, and architectures ✔ Includes exam tips, review questions, and troubleshooting guidance ✔ Reinforced with hands-on tutorials Become a Confident AWS Data Engineer By the end of this guide, you’ll know how to design, optimize, secure, and operate scalable AWS data pipelines—and you will be fully prepared to pass the AWS Certified Data Engineer – Associate exam.