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AWS Cloud Data Engineer — Professional Path

AWS Cloud Data Engineer — Professional Path

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Ultimate AWS Data Engineering

Ultimate AWS CDK for Infrastructure Automation

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Description

BUNDLE OBJECTIVE
This bundle is designed for data engineers, cloud developers, and DevOps professionals aiming to achieve expert-level proficiency in AWS data engineering and infrastructure automation. Through real-world use cases, hands-on exercises, and best practices, learners will gain the knowledge to design scalable data pipelines, automate cloud infrastructure using CDK, and optimize AWS services for enterprise-level deployments.

KEY FEATURES
End-to-end AWS data engineering workflows.
Practical examples and real-world case studies.
CDK-based infrastructure automation guidance.
Expert tips on scalable, cost-effective cloud solutions.
Hands-on exercises for immediate skill application.

DESCRIPTION
The AWS Cloud Data Engineer — Professional Path bundle provides a focused, two-book learning path for mastering AWS data engineering and cloud infrastructure automation.

Ultimate AWS Data Engineering — Master the art of designing scalable, secure, and fault-tolerant data pipelines on AWS. This book covers foundational concepts and advanced techniques in building end-to-end AWS data solutions, including data ingestion, transformation, storage, and analytics. Practical examples and real-world case studies ensure readiness for enterprise challenges.

Ultimate AWS CDK for Infrastructure Automation — Learn to harness the power of AWS Cloud Development Kit (CDK) for automating cloud infrastructure. This guide equips developers and DevOps professionals with practical skills to build, deploy, and manage AWS infrastructure efficiently. Topics include automated deployments, scalable architecture design, and best practices for infrastructure as code (IaC).

Together, these books empower readers to build, optimize, and automate AWS data workflows and infrastructure with confidence.

WHAT WILL YOU LEARN
Build scalable, fault-tolerant AWS data pipelines.
Automate AWS infrastructure using CDK.
Integrate AWS services for enterprise data solutions.
Apply best practices for cloud infrastructure design.
Optimize cloud operations for performance and cost efficiency.
Transition from intermediate to expert-level AWS proficiency.

WHO THIS BUNDLE IS FOR
Data Engineers and Cloud Developers, DevOps and Infrastructure Automation professionals, AWS enthusiasts aiming for expert-level skills, Individuals with intermediate knowledge of AWS, Python and cloud fundamentals

Table of Contents

TABLE OF CONTENTS
Ultimate AWS Data Engineering

AWS Data Architecture and Pipeline Design
ETL and Data Transformation on AWS
Storage Solutions: S3, Redshift, and DynamoDB
Analytics with AWS Glue, Athena, and SageMaker
Security and Cost Optimization
Real-World Case Studies

Ultimate AWS CDK for Infrastructure Automation
Introduction to AWS CDK and IaC
Building and Managing AWS Resources
Automated Deployments and Pipelines
Integrating CDK with CI/CD Workflows
Advanced Architecture Design Patterns
Enterprise-Level Automation Best Practices

About Author & Technical Reviewer