Get To Us
Cloud-Native Data Engineering with AWS

AWS Data Engineering

Build powerful, cloud-native data pipelines using core AWS tools like S3, Redshift, Glue, and EMR — designed to prepare you for in-demand data engineering roles.

5000+

Enrolled

4.9/5

Rating

99%

Placements

Register
Enquire Now

Foundational Clarity

Build a rock-solid base with Linux, Hadoop, and Shell scripting — the essentials every data engineer must master.

Cloud Integration

Seamlessly transition to cloud with hands-on experience in AWS services like S3, EMR, Redshift, and Glue.

Real-World Projects

Work on industry-level projects that mirror real job challenges and build the confidence to deliver in the field.

Placement Focused

Receive end-to-end career support including resume building, mock interviews, and job referrals until you're placed.

Our Personalized Course Curriculum

  • Overview of AWS and its role in modern data engineering
  • Introduction to AWS services for data pipelines (S3, Redshift, Glue, EMR, etc.)
  • Setting up an AWS account and basic configurations
  • Understanding S3 storage fundamentals
  • Data uploading, retrieval, and security in S3
  • Creating and managing S3 buckets for data storage
  • Introduction to Amazon Redshift and its architecture
  • Setting up Redshift clusters
  • Loading and querying data in Redshift
  • Data modeling and performance optimization in Redshift
  • Introduction to AWS Glue for ETL processes
  • Creating and managing Glue crawlers and jobs
  • Data transformation with Glue’s dynamic frames and Spark-based processing
  • Integrating Glue with S3 and Redshift for seamless data pipelines
  • Introduction to AWS Lambda for serverless data processing
  • Setting up Lambda functions for data transformation
  • Using AWS Kinesis for real-time data streaming and analysis
  • Automating data pipelines with AWS Step Functions
  • Scheduling and managing workflows using AWS Data Pipeline
  • Monitoring and logging data processes with CloudWatch and CloudTrail

  • Securing data pipelines with IAM (Identity and Access Management)

  • Managing data encryption and access policies

  • Best practices for securing AWS resources and data in transit

  • Building an end-to-end cloud data pipeline using AWS services

  • Data extraction, transformation, loading, and visualization

  • Real-world use cases, project deployment, and final demo

  • Resume Crafting 
  • Mock Interviews & Feedback
  • LinkedIn Optimization
  • Direct Placement Support
  • AWS is the global leader in cloud services
  • Huge demand for cloud-savvy data engineers in top companies
  • Offers scalability, reliability, and cost-efficiency
  • Mastering AWS makes you job-ready for cloud-first tech stacks
  • It’s a future-proof skill in today’s data-driven world
  • Beginners transitioning to data engineering
  • Professionals with on-premise experience moving to the cloud
  • ETL developers looking to modernize their skillset
  • Data analysts & engineers wanting AWS expertise
  • Anyone seeking a career in cloud-based big data roles
  • Learn how to build scalable data pipelines using AWS services
  • Master cloud-native tools like S3, Redshift, Glue, EMR, and Lambda
  • Gain real-time experience through industry-relevant projects
  • Understand orchestration, automation, and monitoring in AWS
  • Prepare for job roles in cloud-based data engineering
  • Live instructor-led classes with real-time doubt resolution
  • Access to recorded sessions for lifetime reference
  • Hands-on labs with S3, Redshift, Glue, Lambda & more
  • One-on-one mentorship and resume reviews
  • Real-world capstone project on AWS
  • Mock interviews and placement support
  • Certification of completion

Real Feedback Real Results

"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"

Tyler Morgan

"I switched from a non-tech background to a data role. The hands-on support made all the difference."

Tyler Morgan

"The one-on-one mentorship helped me clear all doubts. The guidance was personal and consistent."

Tyler Morgan

"Great course structure and recorded classes. I could revise anytime, which helped me stay on track."

Tyler Morgan

"Coding practice was intense and helpful. The 600+ exercises truly made me ready for real interviews."

Tyler Morgan

"Karthik sir is very supportive. He always makes sure no student is left behind, even during tough topics."

Tyler Morgan

"From resume tips to mock interviews, the placement support is solid. I got placed within a few months."

Tyler Morgan

Make an Enquiry.

Need Help ?
+91 99894 54737

Connect With Our Team
If you need more information or personalized support, simply complete the form below.
We’re committed to providing timely and helpful responses.

Facebook-f Linkedin Youtube Instagram

Courses

Onpremise +AWS

Spark Engineering

Aws Data Engineering

Azure DataEngineering

SnowFlake +DBT

Gcp Data Engineering

Company

About Us

Contact

Privacy Policy

Terms & Conditions

FAQs

Blogs

Get In Touch

+91 99894 54737

karthik@seekhobigdata.com

India

Copyright © 2025 Seekho Big Data | Designed by The Website Makers

Call Now Button