AWS Data Engineer Bootcamp: The Complete Guide

Master AWS data Engineer Course with Real Time Projects

What you’ll learn
✓ Master the core concepts of AWS Data Engineering and understand how modern data platforms are built on AWS
✓ Design and build end-to-end data pipelines on AWS from data ingestion to analytics
✓ Create scalable Data Lakes using Amazon S3 for storing structured and semi-structured data
✓ Perform ETL (Extract, Transform, Load) using AWS Glue with real-world practical examples
✓ Build serverless data pipelines using AWS Lambda
✓ Query datasets using Amazon Athena without managing servers
✓ Build event-driven architectures using Amazon SNS
✓ Monitor and troubleshoot pipelines using AWS CloudWatch
✓ Gain hands-on experience with AWS services used by professional Data Engineers

Requirements
● Basic understanding of computers and the internet
● No prior AWS experience is required — everything will be explained from scratch
● A computer with internet connection to access AWS services and practice the labs

Description
Master AWS Data Engineering – Build Real World Data Pipelines on AWS

Become a professional AWS Data Engineer by mastering the most important AWS data engineering services used by companies worldwide. This course is designed to help you build real-world data pipelines, data lakes, ETL workflows, streaming pipelines, and analytics solutions using AWS.

If you want to become an AWS Data Engineer, Cloud Data Engineer, Big Data Engineer, or prepare for AWS Data Analytics and AWS Data Engineer roles, this course will give you practical hands-on experience with the most important AWS services.

You will learn how to design and build end-to-end data engineering pipelines using AWS services like S3, Glue, Lambda, Kinesis, Redshift, Athena, EMR, SNS, CloudWatch and more.

This course focuses heavily on real-world projects and hands-on labs, so you will gain the practical skills needed to work as an AWS Data Engineer in production environments.

What You Will Learn

Build end-to-end AWS Data Engineering pipelines

Create Data Lakes using Amazon S3

Perform ETL using AWS Glue

Process big data using Amazon EMR

Build real-time streaming pipelines using Amazon Kinesis

Run serverless data pipelines using AWS Lambda

Query data using Amazon Athena

Build Data Warehouses using Amazon Redshift

Implement event-driven architectures using SNS and SQS

Monitor pipelines using AWS CloudWatch

Design production-grade AWS data architecture

Understand best practices for AWS Data Engineering

Work with structured and semi-structured data

Build batch and streaming data pipelines

Learn data lake architecture on AWS

Implement data ingestion, transformation, and analytics

AWS Services Covered in this Course

This course covers the most important AWS services used in Data Engineering and Big Data pipelines.

Data Storage

• Amazon S3

• Data Lake Architecture

ETL & Data Processing

• AWS Glue

• AWS Lambda

Streaming Data

• Amazon Kinesis

Big Data Processing

• Amazon EMR

• Spark on AWS

Data Analytics

• Amazon Athena

Monitoring & Automation

• AWS CloudWatch

• Event Driven Pipelines

Messaging & Notifications

• Amazon SNS

Real-World AWS Data Engineering

In this course you will build multiple real-world AWS data engineering projects such as

• Build a Data Lake on AWS S3
• Create ETL pipelines using AWS Glue
• Query data using Amazon Athena
• Build serverless pipelines using AWS Lambda
• Create event-driven architectures using SNS
• Monitor pipelines using CloudWatch

These projects simulate real production scenarios used by modern data engineering teams.

Why Learn AWS Data Engineering?

Data Engineering is one of the highest paying roles in cloud and big data.

Companies are rapidly moving their data platforms to AWS, and they need skilled AWS Data Engineers who can design scalable data lakes, ETL pipelines, and analytics systems.

By learning AWS Data Engineering, you can open career opportunities like

• AWS Data Engineer

• Cloud Data Engineer

• Big Data Engineer

• Data Platform Engineer

• Analytics Engineer

Who this course is for
■ Aspiring AWS Data Engineers who want to build real-world data pipelines on AWS
■ Data Engineers who want to learn or upgrade their skills in AWS Data Engineering services
■ Cloud Engineers who want to specialize in Data Engineering on AWS
■ ETL Developers who want to transition into modern cloud data engineering

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