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chakradbi

AWS Data Engineering Mastery

Building Scalable, Cloud-Native Data Pipelines. Step into the world of modern data engineering with AWS—the industry’s leading cloud platform. Master how to build, automate, and scale data pipelines for real-time and batch processing. Learn the tools powering today’s data infrastructure—S3, Glue, Redshift, EMR, Lambda, and more. Work on hands-on projects using cloud-native technologies adopted by top companies worldwide. Launch your career with skills that are in high demand across tech, fintech, and enterprise sectors

Advanced
9 -11 Weeks
Prerequisites

Core  Python programming

Logical thinking and basic understanding of data concepts

Interest in cloud computing and data workflows

Learning Objectives :

Design and build scalable data platforms on AWS

Implement batch and streaming ETL with Glue and Kinesis

Manage data storage and warehousing using S3, Redshift, and Lakehouse models

Automate cloud deployments and monitor large systems

 Master the Tools That Matter

Master the platforms that drive today’s data-powered world and tomorrow’s tech innovations.

Program Curriculum

Cloud Fundamentals & AWS Services

What is Cloud & Data Engineering?

Overview of AWS Global Infrastructure

Compute Services: EC2 Launch and Management

Storage Deep Dive: S3 Buckets, Glacier, Lifecycle

Security Essentials: IAM Users, Policies, Roles

Data Storage &  Querying on AWS

AWS Lakehouse Architecture

AWS Redshift: Data Warehousing

Using Athena for Serverless SQL Querying

Building Lake Formation Catalogs

Data Formats: Parquet, ORC, JSON on S3

ETL, Data Pipeline Processing

AWS Glue for ETL: Crawlers, Jobs, PySpark Basics

ETL pipelines with AWS Glue Studio

Amazon Kinesis: Data Streams and Firehose Setup

Real-time Processing with AWS Lambda + Kinesis

Streaming Data into Redshift and S3

Automation & Monitoring 

CloudFormation Basics for Infrastructure as Code

Monitoring Pipelines and Systems with CloudWatch

Log Management with CloudTrail and Athena

Integration with Tableau

Cost Management and Billing Insights

Capstone & Enterprise Readiness

Architect a Real-time Analytics Platform (S3 → Glue → Redshift → QuickSight)

Optimize and Fine-tune ETL Performance

Build a Streaming Pipeline using Kinesis + Lambda + Redshift

Present Cost Optimization Strategies and Security Best Practices

The Chakra Edge: Learn Smarter, Rise Faster

Experience personalized learning with expert-led small batches, hands-on projects, and continuous interview prep. Track your growth with our intelligent LMS—designed to sharpen your skills at every chapter. This is not just a course, it's your launchpad to a high-impact data science career.

Small Batch Size - Personalized Attention

Get individual attention with 4–5 learners per group—collaborative, focused, and personal.

Portfolio-Ready Capstone Project for Real Impact

Turn theory into action by solving real-world challenges and building a standout portfolio.

Ace Interview - From Concept to Confidence

Get individual attention with 4–5 learners per group—collaborative, focused, and personal.

LMS - Intelligent Tracking, Smarter Learning

Get individual attention with 4–5 learners per group—collaborative, focused, and personal.