Our job-oriented AWS Data Engineering program offers hands-on experience, expert guidance, and industry-recognized certifications to help you land high-paying data engineering roles and succeed in the cloud data industry.
Intensive Training
Expert Instructors
Placement Support
Microsoft Official
The AWS Data Engineering Job-Oriented Program is your comprehensive path to becoming job-ready in AWS Data Engineering. You’ll begin with foundational cloud knowledge and then progress into key areas such as data engineering, data migration, and AWS services. This course will help you master AWS services for data management, processing, analytics, and migration while gaining hands-on experience through real-world projects and labs. Along the way, you will prepare for essential AWS certifications, including AWS Certified Cloud Practitioner, AWS Data Engineering Associate, and AWS Migration Concepts. By the end of the program, you’ll not only have certifications but also the practical skills and confidence to land roles such as Cloud Data Engineer, Data Analyst, or AWS Data Architect.
Looking to transition into data engineering roles and work with AWS services for data processing, analytics, and storage.
Who want to expand their skill set to include cloud-based data engineering, AWS data services, and data migration techniques.
Eager to enter the rapidly growing field of data engineering and cloud computing, with a structured, job-oriented training program.
Looking to gain expertise in data engineering, cloud infrastructure, and data migration using AWS services.
Wanting to start a career in data engineering with globally recognized certifications in AWS and gain hands-on experience with real-world data projects.
Learn about AWS Certified Cloud Practitioner and AWS Certified Data Engineering - Associate certifications, which validate your expertise and significantly enhance your resume, making you stand out to potential employers in the data engineering field.
Gain practical skills working with AWS tools such as S3, EC2, Lambda, RDS, DynamoDB, Glue, Athena, and Redshift. You’ll learn to work on real-world data engineering tasks, enhancing your knowledge and confidence to work on cloud data projects.
Master key skills in data migration, ETL processes, data analytics, and AWS data services, preparing you for high-demand roles like Data Engineer or AWS Data Analyst.
Get personalized support with resume reviews, LinkedIn profile optimization, job application assistance, and mock interviews, helping you confidently showcase your skills and secure your ideal job.
Build a portfolio with hands-on projects such as migrating data with AWS DMS, building ETL pipelines with AWS Glue, performing real-time data analysis with Amazon Athena, and automating data workflows using AWS Lambda. These projects will showcase your expertise to employers.
Enjoy access to all course materials for one year, so you can revisit lessons, stay updated with AWS changes, and continue learning at your own pace. Even after completing the course, ongoing assistance will be available to help you apply your AWS data engineering expertise.
In this project, you’ll learn how to design and implement an ETL pipeline using AWS Glue to extract, transform, and load data into Amazon Redshift incrementally. This process ensures efficient handling of large data sets, automates data movement, and optimizes query performance for analytics. You'll also learn how to schedule and manage jobs for seamless data integration and synchronization.
This project guides you through the process of migrating an on-premises Oracle database to Amazon RDS or Aurora using AWS Database Migration Service (DMS). You'll prepare the database for migration, configure the migration settings, and handle data transfer with minimal downtime. The project also involves ensuring data integrity, securing the database, and fine-tuning performance for AWS cloud environments.
In this serverless project, you will build an AWS Lambda function to automatically resize user-uploaded profile pictures for social media platforms. By utilizing Amazon S3 for storage and Lambda for processing, you will automate the resizing process and save storage costs by using multiple storage classes. The project also explores event-driven architectures, where a simple upload triggers the image resizing process.
In this project, you will use Amazon Athena to run SQL queries directly on data stored in Amazon S3. The goal is to perform real-time data analysis while ensuring ACID-compliant transactions for high data integrity. You will implement best practices for querying large datasets and gain skills in building data lakes and data warehouses that can support business intelligence workloads.
This project will focus on using AWS services such as Redshift, Athena, and QuickSight to analyze customer churn data. You’ll design a data strategy to predict churn rates by analyzing historical customer behavior and identifying key factors leading to customer attrition. The solution will involve building dashboards and reports to help stakeholders make data-driven decisions for improving retention strategies.
Leverage AWS tools such as AWS Glue, Lambda, and Redshift for advanced data processing and analysis. This project will focus on handling large-scale data sets from various sources, transforming raw data into valuable insights for reporting and business intelligence. You'll also work on enhancing data models, optimizing queries, and integrating complex data processing workflows to support data-driven decision-making in organizations.
In this project, you'll design and implement a comprehensive data backup and recovery strategy using AWS Backup, ensuring data integrity and compliance with organizational policies. You’ll work with EC2, EBS, and RDS services to back up critical data, restore it in case of failures, and apply automation for efficient and scheduled backups. Additionally, you'll ensure proper auditing and reporting using AWS Backup Audit Manager.
Learn how to automate troubleshooting and monitor AWS infrastructure health using AWS CloudWatch, CloudTrail, and Lambda. In this project, you’ll create an automated system that detects and addresses common issues in AWS services while optimizing resource usage to reduce costs. You'll apply cost optimization best practices, such as auto-scaling, reserved instances, and proper resource tagging, to ensure both efficiency and savings in your AWS environment.
If you have some experience with databases and SQL, that’s great! If not, don’t worry—this program will teach you the basics.
A basic understanding of programming, especially Python, will help you work with data and AWS tools. If you're new to coding, don’t worry, you’ll learn as you go!
Being excited about learning new things and diving into AWS services is key to success in this program. Your curiosity and eagerness to learn will drive your progress.
You will complete over 30 hands-on labs and projects that you can show to employers to prove what you’ve learned.
We will help you with mock interviews, writing your CV, and giving tips on how to find the right job.
You’ll gain the confidence to pass important certification exams like the AWS Certified Data Engineer – Associate, which will impress employers.
Learn the skills that companies are looking for in cloud and data jobs, so you can land a well-paid position.
After finishing the program, you’ll have access to the course content for a full year, with the option to review and retake lessons whenever you need.
We focus on practical training with 50+ labs and projects—no boring theory.
Get your doubts cleared quickly via WhatsApp, Ticketing System, or during live Q&A sessions.
Learn directly from experts, ask questions, and stay on track with your learning.
Designed by Atul, who has 20+ years of IT experience (a century in cloud years), our structured path takes you from beginner to certified professional.
Even after getting a job, you’ll continue to receive mentorship and support to succeed in real-world projects.
Get 1-year unlimited access to training materials, labs, and recordings. Learn at your own pace and revisit topics whenever needed.
Join 45,000+ learners worldwide who have upskilled with us, transformed their careers, and landed high-paying cloud and data roles. Learn from their success stories—and start creating your own.
Learn about globally recognized AWS certifications (AWS Practitioner to AWS Data Engineer - Associate) that prove your skills and open doors to high-paying roles.
Practice on 50+ labs and real-world projects using AWS Glue, Redshift, Athena, and many more.
Get personalized help with resumes, mock interviews, and job strategies designed to fast-track your career.
Position yourself for promotions, career transitions, and top salaries with in-demand AWS data expertise.
Learn at your own pace with full access to training materials, labs, and recordings.
Trusted by thousands of satisfied trainees across multiple platforms
Our instructors are certified AWS experts with years of industry experience in Data Engineering and Cloud technologies. They have a proven track record and are passionate about helping students gain practical skills and achieve their career goals in AWS Data Engineering.
Yes! Our program is designed for both beginners and professionals. Even without prior experience in cloud computing or data engineering, you’ll learn everything you need to land a job in AWS Data Engineering, from the basics to advanced topics.
Absolutely! Our program offers flexible learning options. You can access recorded sessions and materials anytime, allowing you to learn at your own pace and on your schedule, even if you’re busy.
We offer flexible payment plans to suit your budget. If you’re still hesitant, book a free consultation call with our career coach to discuss how this program will help you build a successful career in AWS Data Engineering.
Yes! This program is designed to help people from all backgrounds, including those with career gaps. We’ll provide the knowledge and skills needed to re-enter the job market with confidence in AWS Data Engineering.
No prior coding experience is required for most of the program. While some familiarity with Python or SQL is helpful, we cover the fundamentals of data engineering concepts and guide you through everything step by step. You’ll gain hands-on experience with AWS data services.
You’ll have access to support channels like community groups, WhatsApp groups, and a ticketing system. Our team will be there to answer your questions. Additionally, you’ll be part of a learning community where you can interact with peers and instructors.
Many of our past students have gone on to secure high-paying roles such as Data Engineers, Cloud Architects, and Data Analysts in leading companies. You can check out their success stories and testimonials on our website.
After completing this program, you will be prepared for certifications like:
Certifications enhance your resume and showcase your commitment and expertise. While they are not always required, they definitely help you stand out to employers and give you a competitive edge in the job market, especially in data roles.
Don’t worry! Our program is beginner-friendly. We start with the basics and guide you through the complexities of AWS Data Engineering. You’ll have expert instructors to help you every step of the way.
Yes! Our program is designed for people from non-technical backgrounds as well. We start with the fundamentals of cloud technologies and data engineering, and help you transition into a cloud data role.
Yes! You’ll work on real-world data engineering projects that mirror industry scenarios. These hands-on projects will help you build a strong portfolio and give you concrete evidence of your skills for potential employers.
We offer mock interview sessions and provide you with a collection of interview questions and answers based on real-world job requirements. Additionally, we help you optimize your resume and LinkedIn profile and give you job search strategies.
While job placement is not guaranteed, our program equips you with the necessary skills and certifications to pursue high-paying data engineering roles. Many of our alumni have successfully secured positions in top companies with attractive salaries.
While we can’t guarantee a job, we provide comprehensive job placement support, including interview prep, CV assistance, and job application guidance. With certifications, hands-on labs, and real-world projects, you’ll have the skills needed for roles like Data Engineer, Cloud Engineer, Data Analyst, or Database Administrator many learners have successfully transitioned into data engineering careers after completing this program.
When you join the K21Academy, you are fully protected by our 100% Money back guarantee.
We strive to provide the best training programs, but if you don’t get the desired results even after following every step of our learning style, you can claim your money back! 100% money-back guarantee covers the price of online training.
You have 6 Months from the date of the original purchase, to claim a refund. All you will be required to do is, show us the proof that you took action and attended sessions, completing the hands-on labs, Projects & applying to at least 50 jobs & get CV Reviewed (share proof) & you feel that the program is not worth the money you invested, you will receive a full refund.
I started my IT career in 2000 as an Oracle DBA/Apps DBA. The first few years were tough (<$100/month), with very little growth.
In 2004, I moved to the UK. After working really hard, I landed a job that paid me £2700 per month.
In February 2005, I saw a job that was £450 per day, which was nearly 4 times of my then salary.
So I looked at training from Oracle for 5 days. In November, I successfully transitioned to Oracle Security & IAM, and my career took off.
Around 2012–13, Cloud, DevOps & Cloud Automation were gaining popularity & there were many job opportunities in these fields.
So, I decided to make a change in my career path, and I transitioned from working on On-premises (Security, Infrastructure & Databases) to focusing on Cloud & DevOps.
Learning Cloud & DevOps gave me the opportunity to work with some of the world’s largest and most prestigious clients.
I then used the same roadmap with 45,000+ individuals (like you) to help them get their dream jobs.
If they can do it, you can do it too!
