AWS Data Engineering Training in Hyderabad

AWS Data Engineering Training in Hyderabad – Kalyan IT Hub

AWS Data Engineering Training in Hyderabad – Kalyan IT Hub

At Kalyan IT Hub, we provide the most comprehensive AWS Data Engineering Training in Ameerpet & Hyderabad – Kalyan IT Hub, designed for students, freshers, IT professionals, and job seekers who want to build a strong career in cloud and data engineering. Our AWS Data Engineering Training in Hyderabad covers everything from zero to advanced level, including data pipeline design, real-time data processing, and big data integration using tools like AWS Glue, Redshift, EMR, Kinesis, Lambda, PySpark, and Apache Airflow. With expert trainers and practical assignments, we ensure that every student gains hands-on knowledge through real-time projects. Whether you prefer AWS Data Engineering Classroom Training in Ameerpet or AWS Online Data Engineering Training, our flexible batch timings make it easy for you to learn and grow. Along with technical skills, we also provide 100% placement assistance, interview preparation, and AWS Data Engineer Certification guidance to help you secure high-paying jobs. If you are looking for the Best AWS Data Engineering Training Institute in Hyderabad, Kalyan IT Hub is your trusted partner to achieve career success in the fast-growing world of cloud data engineering.

Why Choose Our AWS Data Engineering Training?

Choosing the right institute is the first step to building a successful career, and at Kalyan IT Hub, we provide the Best AWS Data Engineering Training in Ameerpet and Hyderabad with both online and classroom training options. Unlike many institutes that only cover theory, our AWS Data Engineering Training in Hyderabad is designed with real-time projects, case studies, and industry-level tools like AWS Glue, Redshift, EMR, Lambda, Kinesis, and Apache Airflow. From zero to advanced level, our expert trainers guide you step by step, ensuring you gain hands-on experience in building and managing data pipelines. We also prepare you for the AWS Data Engineer Certification, which increases your chances of securing high-paying jobs in top MNCs. With flexible schedules, personalized mentoring, and 100% placement support, Kalyan IT Hub stands out as the Best AWS Data Engineering Training Institute in Hyderabad and Ameerpet for students, freshers, and professionals who want to upgrade their careers in cloud and data engineering.

Unlock Your Future with AWS Data Engineering

The demand for skilled cloud professionals is growing rapidly, and with AWS Data Engineering Training in Hyderabad and Ameerpet, you can unlock endless career opportunities. At Kalyan IT Hub, our AWS Data Engineering Training takes you from zero to advanced level, covering everything from building scalable data pipelines to handling real-time analytics using AWS Glue, Redshift, Kinesis, EMR, Lambda, and PySpark. This program not only prepares you for the AWS Data Engineer Certification but also makes you industry-ready with hands-on projects and live case studies. Whether you choose AWS Online Training or AWS Classroom Training in Ameerpet, our expert faculty and placement support ensure you gain the skills to work with top MNCs and startups. By mastering AWS Data Engineering in Hyderabad, you open the door to high-paying jobs, global career growth, and long-term success in the cloud and big data ecosystem.

Course Highlights – AWS Data Engineering Training in Hyderabad

At Kalyan IT Hub, our AWS Data Engineering Training in Hyderabad and Ameerpet is designed to provide both theoretical knowledge and practical expertise. Here are the key highlights:

Zero to Advanced Level Training – Suitable for beginners, students, and professionals

Core AWS Tools – Learn AWS Glue, Redshift, Kinesis, EMR, Lambda, PySpark, S3, and Apache Airflow

Real-Time Projects – Hands-on training with live case studies and industry scenarios

Flexible Modes – Both AWS Classroom Training in Ameerpet and AWS Online Training available

Certification Preparation – Complete guidance for AWS Data Engineer Certification

Expert Trainers – Learn from professionals with real-time cloud project experience

Placement Support – Resume building, mock interviews, and 100% job assistance

Small Batch Sizes – Personalized mentoring and doubt-clearing sessions

Practical Focus – Build end-to-end data pipelines with AWS services

Career-Oriented Approach – Designed to make you industry-ready and confident

AWS Data Engineering Tools and Technologies Covered

Module 1: AWS Data Engineering Introduction
  • What is Data Engineering
  • Different Data Engineering Technologies
  • AWS Data Engineering Introduction
  • Introduction of SQL in AWS Data Engineering
  • Introduction of Linux in AWS Data Engineering
  • Introduction of Python in AWS Data Engineering
  • Introduction of PySpark for AWS Data Engineering
Module 2: AWS Basic Services for AWS Data Engineering
  • AWS Cloud Computing Introduction
  • AWS Free Account Creation and How to Sign In AWS Account
  • AWS Service Introduction
  • AWS Free-tier
  • AWS Global Infrastructure
  • AWS EC2
  • AWS IAM
  • AWS VPC (default VPC)
Module 3: Linux for AWS Data Engineering
  • Linux Introduction
  • Linux Filesystem Architecture
  • Linux Installation on EC2 Instance
  • Connecting Linux Machine
  • Basic Linux Commands
  • Linux File & Directory Permissions
  • Linux Filter Commands
Module 4: SQL for AWS Data Engineering
  • What is SQL and SQL Basics (Language Intro: DDL, DML, DCL, TCL)
  • Install MySQL on Windows
  • DDL (Data Definition Language)
  • DML (Data Manipulation Language)
  • DQL (Data Retrieval Language or DQL Query Language)
  • TCL (Transactional Control Language)
  • DCL (Data Control Language)
  • Filtering and Sorting Commands and Joins in SQL
  • Provisioning MySQL using AWS RDS
Module 5: Python for AWS Data Engineering
  • Python Introduction
  • Python Programming Introduction
  • Interactive Mode Development &
  • Script Mode Development
  • Python Installation on Windows Operating System & First Python Program using Python
    Shell
  • Anaconda Python Installation and First Python Application using Jupyter Notebook &
    Spider IDE 
  • Python Editors & IDE Software’s Installation & First Python Application using Editors &
    IDE’s – Notepad++, PyCharm IDE, VSCode, etc..
  • Python Program Indentation rules & Examples
  • Language Fundamentals with Different Examples (Identifiers, Keywords, Datatypes &
    Many More…)
  • Flow Control Statements with Different Examples (if, if-else, for, while, break, continue,
    etc..)
  • Collection Datatypes with Different Examples
  • Modules, Packages & Libraries with Different Example
  • Procedure Oriented Concepts like Functions & Lambda Functions with Different
    Examples
  • Object Oriented Concepts like Class & Object with Different Examples
Module 6: PySpark for AWS Data Engineering
  • PySpark Foundation
  • PySpark Core Programming – RDD Programming, Transformations & Actions
  • PySpark SQL – DataFrames, Tables, DSL & Native SQL
  • PySpark Streaming Programming
  • PySpark Databases Integration
  • PySpark S3 Integration
Module 7: Storage with AWS S3
  • AWS S3 Introduction
  • AWS S3 Bucket using AWS Web Console
  • Create AWS S3 Bucket
  • Setup Data Set locally to upload into AWS s3
  • Adding AWS S3 Buckets and Objects using AWS Web Console
  • Version Control of AWS S3 Objects or Files
  • AWS S3 Cross-Region Replication for fault tolerance
  • Overview of AWS S3 Storage Classes or Storage Tiers
  • Overview of Glacier in AWS s3
  • Managing AWS S3 buckets and objects using AWS CLI
  • AWS S3 Integration with PySpark, AWS Glue, AWS Lambda, AWS Athena etc..
Module 8: Data Processing with AWS Glue
  • AWS Glue Components
  • Create Crawler and Catalog Table
  • Create and Run the Glue Job
  • Create and Run Glue Trigger
  • Create Glue Workflow
  • Run Glue Workflow and Validate
  • Setup Spark History Server on AWS
  • Build Glue Spark UI Container
  • Update IAM Policy Permissions
  • Start Glue Spark UI Container
  • Steps for Creating Catalog Tables
  • Create Glue Catalog Database
  • Crawling Multiple Folders
  • Crawling Multiple Folders
  • Managing Glue Catalog
Module 9: Querying with AWS Athena
  • Amazon Athena Introduction
  • Glue Catalog Databases and Tables
  • Access Glue Catalog Databases and Tables using Athena Query Editor
  • Create Database and Table using Athena
  • Populate Data into Table using Athena
  • Using CTAS to create tables using Athena
  • Amazon Athena Architecture
  • Amazon Athena Resources and relationship with Hive
  • Create Partitioned Table using Athena
  • Develop Query for Partitioned Column
  • Insert into Partitioned Tables using Athena
  • Validate Data Partitioning using Athena
  • Drop Athena Tables and Delete Data Files
  • Drop Partitioned Table using Athena
  • Data Partitioning in Athena using CTAS
Module 10: Real-time Data Processing with AWS Kinesis
  • Building Streaming Pipeline using Kinesis
  • Rotating Logs
  • Setup Kinesis Firehose Agent
  • Create Kinesis Firehose Delivery Stream
  • Planning the Pipeline
  • Create IAM Group and User
  • Granting Permissions to IAM User using Policy
  • Configure Kinesis Firehose Agent
  • Start and Validate Agent
  • Building Simple Steaming Pipeline by Integrating PySpark
Module 11: Serverless Compute with AWS Lambda
  • Hello World using AWS Lambda
  • Setup Project for local development
  • Deploy Project to AWS Lambda console
  • Develop download functionality using requests
  • Using 3rd party libraries in AWS Lambda
  • Validating s3 access for local development
  • Develop upload functionality to s3
  • Validating using AWS Lambda Console
  • Run using AWS Lambda Console
  • Validating files incrementally
  • Reading and Writing Bookmark using s3
  • Maintaining Bookmark using s3
  • Review the incremental upload logic
  • Deploying lambda function
  • Schedule Lambda Function using AWS Event Bridge
Module 12: Data Warehousing with Amazon Redshift
  • Amazon Redshift – Introduction
  • Create Redshift Cluster using Free Trial
  • Connecting to Database using Redshift Query Editor
  • Get list of tables querying information schema
  • Run Queries against Redshift Tables using Query Editor
  • Create Redshift Table
  • CRUD Operations
  • Insert Data into Redshift Tables
  • Update Data in Redshift Tables
  • Delete data from Redshift tables
  • Redshift Saved Queries using Query Editor
  • Deleting Redshift Cluster
  • Copy Data from s3 to Redshift – Introduction
  • Setup Data in s3 for Redshift Copy
  • Copy Database and Table for Redshift Copy Command
  • Run Copy Command to copy data from s3 to Redshift Table
  • Copy JSON Data from s3 to Redshift table using IAM Role
  • Redshift Architecture
  • Create multi-node Redshift Cluster
  • Connect to Redshift Cluster using Query Editor
  • Create Redshift Database
  • Create Redshift Database User
  • Create Redshift Database Schema
  • Integrating PySpark with Redshift
Module 13: Visualizing Data with Amazon Quick Sight
  • Representing data visually for maximum impact
  • Benefits of data visualization
  • Popular uses of data visualizations
  • Understanding Amazon Quick Sight’s core concepts
  • Standard versus enterprise edition
  • SPICE – the in-memory storage and computation engine for Quick Sight
  • Ingesting and preparing data from a variety of sources
  • Preparing datasets in Quick Sight versus performing ETL outside of Quick Sight
  • Creating and sharing visuals with Quick Sight analyses and dashboards
  • Visual types in Amazon Quick Sight
Module 14: Workflow Orchestration with AWS Step Functions
  • Introduction to AWS Step Functions
  • Setting Up Step Functions on AWS
  • Core Concepts: States, Tasks, and State Machines
  • Integrating with AWS Services
  • Developing & Deploying Step Functions Workflows
  • Monitoring, Logging, and Error Handling
  • Best Practices for Workflow Design
  • End-to-End Serverless Data Pipeline with Step Functions
  • Scaling, Optimization & Cost Management
  • Hands-on Project: Orchestrate a Real-Time ETL Pipeline using Step Functions
Module 15: End to End Realtime Project
  • End to End Project Work
  • Resume Guidance
  • Interview FAQs
  • Mock Interview (On-Request)

Course Structure – AWS Data Engineering Training in Hyderabad

At Kalyan IT Hub, our AWS Data Engineering Training in Hyderabad and Ameerpet is carefully designed to help students learn from zero to advanced level, covering every key concept required to become an AWS Data Engineer. We include all important AWS services, practical sessions, and real-time project work to ensure complete understanding.

 Key Details:
  • Topics Covered: We teach almost all essential AWS services and tools used in real-world Data Engineering projects including AWS Glue, Redshift, EMR, Lambda, Kinesis, S3, and Apache Airflow.

  • Course Duration: 45+ hours of intensive training with daily 1 to 1.5-hour sessions for better concept clarity.

  • Pre-Requisites: Only basic SQL and basic Python knowledge is required to start this course.

  • Teaching Style: We start from the very basics so that even beginners can easily follow.

  • Languages: All concepts will be explained clearly in both Telugu and English, based on students’ comfort.

This structured approach makes our AWS Data Engineering Training in Ameerpet one of the best choices for beginners and professionals aiming to upskill in cloud data engineering.

Real-World Projects in AWS Data Engineering Training

At Kalyan IT Hub, our AWS Data Engineering Training in Hyderabad and Ameerpet is designed with a project-based learning approach to ensure students gain real-time industry experience. Instead of just theory, you will build complete end-to-end data engineering pipelines using core AWS services like Glue, Redshift, EMR, S3, Lambda, and Kinesis. These real-world projects are designed to help you apply every concept practically and build the confidence to handle enterprise-level data workflows.

Through these hands-on projects, students will:

  • ✅ Design and build ETL pipelines for structured and unstructured data
  • ✅ Implement data lake architecture using S3 and Glue Catalog
  • ✅ Create streaming data pipelines with Kinesis and Lambda
  • ✅ Build data warehouses using AWS Redshift and EMR
  • ✅ Orchestrate workflows using Apache Airflow
  • ✅ Work on real client scenarios and datasets

By completing these projects, you will become job-ready and gain the practical experience required to crack interviews and work confidently as an AWS Data Engineer.

🔹Key Real-Time Projects You Will Work On🔹

As part of our AWS Data Engineering Training in Hyderabad and Ameerpet at Kalyan IT Hub, you will get hands-on experience with industry-level real-time projects. These projects help you apply concepts practically and build job-ready skills.

 Real-Time Projects:
  • 🧩 Data Lake Architecture on AWS S3 & Glue – Build a complete data lake to store, catalog, and process raw and structured data.

  • Real-Time Streaming Pipeline using Kinesis & Lambda – Capture and process live streaming data for analytics and dashboards.

  • 🛢️ Data Warehouse Development using AWS Redshift – Design and build a scalable data warehouse with dimensional modeling.

  • 🧮 Batch Data Processing on AWS EMR with PySpark – Process large datasets using Spark clusters on AWS EMR.

  • 📊 ETL Workflow Orchestration with Apache Airflow – Schedule and manage end-to-end data workflows in production.

  • 🤖 Machine Learning Data Pipeline Integration – Prepare, clean, and transform data for ML models using AWS Glue & S3.

By completing these real-world projects, you’ll gain the practical experience needed to start your career as an AWS Data Engineer confidently.

🔹Why Real-World Projects Matter?🔹

In today’s competitive tech industry, simply learning theory is not enough — employers expect real-time hands-on experience. That’s why at Kalyan IT Hub, our AWS Data Engineering Training in Hyderabad and Ameerpet includes multiple real-world projects to help students gain industry-ready skills. These projects allow you to apply core AWS Data Engineering concepts like building ETL pipelines, setting up data lakes on S3 and Glue, creating streaming pipelines with Kinesis and Lambda, processing big data using EMR and PySpark, and managing workflows with Apache Airflow. By working on these projects, students understand how to solve real business challenges, improve data quality, and manage large-scale data pipelines. This practical exposure not only strengthens your technical foundation but also boosts your confidence during interviews, making you stand out as a skilled AWS Data Engineer.

Who Should Enroll in AWS Data Engineering Training?

Our AWS Data Engineering Training in Hyderabad and Ameerpet at Kalyan IT Hub is designed for anyone who wants to build a high-paying career in cloud and data engineering. Whether you are a complete beginner, fresher, student, or working professional, this course takes you from zero to advanced level with hands-on practice. It is ideal for software developers, data analysts, database administrators, Python/SQL developers, and ETL professionals who want to switch to the fast-growing field of AWS Data Engineering. Even if you are from a non-IT background, our trainers start from the basics, making it easy for you to understand concepts like AWS Glue, Redshift, EMR, Kinesis, Lambda, and Apache Airflow. With flexible online and classroom training options in Ameerpet, this program is perfect for anyone aiming to get AWS Data Engineer Certification and secure jobs in top MNCs.

🔹Ideal Candidates for This Course🔹

Our AWS Data Engineering Training in Hyderabad and Ameerpet at Kalyan IT Hub is suitable for a wide range of learners. If you belong to any of the categories below, this course is perfect for you:

  • 👨‍🎓 Fresh Graduates & Students – Looking to start a career in cloud and data engineering with zero to advanced level training

  • 💻 Software Developers & Programmers – Wanting to transition into AWS Data Engineering roles using Python, SQL, and big data tools

  • 📊 Data Analysts & BI Professionals – Looking to upgrade their skills in ETL, data pipelines, and cloud data architecture

  • 🗄️ Database Administrators (DBAs) – Planning to shift into AWS cloud-based data platforms like Redshift and EMR

  • 🧪 ETL / Data Warehouse Professionals – Seeking to enhance their career with AWS Glue, Kinesis, Lambda, and Apache Airflow

  • 🌐 Working IT Professionals – Who want to get AWS Data Engineer Certification and move into high-paying roles

  • 🚀 Career Switchers & Non-IT Background Learners – Interested in building a strong foundation in AWS Data Engineering from scratch

With flexible online and classroom training in Ameerpet, this course gives every learner the opportunity to become a successful AWS Data Engineer.

AWS Data Engineer Certification – Become a Certified AWS Data Engineer

Getting certified is a crucial step in becoming a professional AWS Data Engineer Certification, and at Kalyan IT Hub, we help you achieve it with confidence. Our AWS Data Engineering Training in Hyderabad and Ameerpet is designed to prepare students for the official AWS Data Engineer Certification exam, covering all the core modules such as AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Amazon Kinesis, and Apache Airflow. With our structured curriculum, hands-on projects, and expert guidance, you will gain the practical knowledge required to clear the exam on your first attempt. We also provide mock tests, interview preparation, and resume-building support to help you become fully job-ready. Whether you choose AWS Online Training or AWS Classroom Training in Ameerpet, our goal is to help you earn your AWS Data Engineer Certification and secure high-paying roles in top MNCs as a certified AWS Data Engineer.

What is the AWS Data Engineer Certification?

The AWS Data Engineer Certification is an industry-recognized credential offered by Amazon Web Services that validates your expertise in designing, building, and managing data pipelines on the cloud. This certification proves your ability to work with core AWS data services such as AWS Glue, Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Lambda, and Apache Airflow to build scalable and secure data solutions. At Kalyan IT Hub, our AWS Data Engineering Training in Hyderabad and Ameerpet is designed to help you gain the knowledge, practical experience, and confidence needed to clear this certification exam on your first attempt. Achieving this certification boosts your professional credibility, opens up high-paying job opportunities, and positions you as a skilled AWS Data Engineer in the competitive cloud industry.

AWS Data Engineer Placement Support – Launch Your Cloud Career

At Kalyan IT Hub, we don’t just stop at training — we go the extra mile to help you start your career. Our AWS Data Engineering Training in Hyderabad and Ameerpet comes with full placement support to help students secure jobs in top MNCs and cloud-based companies. After completing our AWS Data Engineer Certification-focused course, you will get guidance in resume building, mock interviews, aptitude preparation, and real-time interview question practice from industry experts. We also conduct regular job drives, recruiter connections, and referrals to ensure every student gets the opportunity to showcase their skills. Whether you opt for AWS Online Training or AWS Classroom Training in Ameerpet, our placement cell will support you until you land your first job as a certified AWS Data Engineer.

Our Placement Assistance Includes:

At Kalyan IT Hub, we provide complete placement support along with our AWS Data Engineer Certification-focused AWS Data Engineering Training in Hyderabad and Ameerpet to help students secure jobs quickly.

Placement Support Services:
  • Resume Building Assistance – Create a professional and job-winning resume for AWS Data Engineer roles

  • Mock Interviews – Practice with real-time interview scenarios to build confidence

  • Technical & HR Interview Preparation – Learn how to answer commonly asked AWS Data Engineering questions

  • Job Alerts & Referrals – Get access to our exclusive AWS job openings network

  • Portfolio & GitHub Setup – Showcase your AWS projects and skills to potential employers

  • Soft Skills & Communication Training – Improve presentation and client communication skills

  • One-on-One Career Guidance – Personalized mentoring from industry experts

  • Placement Drives & Recruiter Connects – Direct interaction with hiring partners and companies

With this end-to-end support, students of our AWS Data Engineering Training in Hyderabad get placed in top companies as certified AWS Data Engineers.

Our Corporate Clients

The Corporate Training program is customized for industry professionals seeking career shifts, aligning with project demands and individual career goals.

Why Choose Ameerpet and Hyderabad for AWS Data Engineering Training?

Ameerpet and Hyderabad are well-known as leading IT education hubs in India, making them the perfect choice for pursuing AWS Data Engineering Training. Ameerpet is famous for its affordable and high-quality training institutes, offering industry-focused coaching with real-time projects. Hyderabad, being one of the fastest-growing tech cities, provides abundant job opportunities, internships, and exposure to top MNCs for skilled AWS data engineers. At Kalyan IT Hub, our AWS Data Engineering Training in Ameerpet and Hyderabad combines expert mentorship, flexible classroom and online batches, and hands-on labs to help students build strong cloud data engineering skills from scratch. Learning in this tech-driven environment gives you the advantage of connecting with industry experts and increasing your chances of placement in reputed companies.

Enroll Now for AWS Data Engineering Training in Hyderabad!

Kickstart your cloud career with our expert-led AWS Data Engineering Training in Hyderabad at Kalyan IT Hub. We offer structured classroom and online training programs that cover everything from fundamentals to advanced data engineering concepts on Amazon Web Services. This course is designed for freshers, working professionals, and career switchers aiming to become job-ready cloud data engineers. With real-time projects, hands-on labs, and dedicated placement support, you will gain the confidence to clear certifications and crack interviews with top MNCs. Enroll now and start your journey to becoming a skilled AWS Data Engineer with the best training institute in Ameerpet, Hyderabad.

Have a question?

Frequently Asked Questions (FAQs) – AWS Data Engineering Training in Hyderabad

AWS Data Engineering Training helps you learn how to design, build, and manage data pipelines on Amazon Web Services. It is important for building a successful career as a cloud data engineer in Hyderabad, where demand is growing rapidly.

Freshers, IT professionals, software developers, data analysts, and anyone looking to switch to a cloud data engineering career can join AWS Data Engineering Training in Hyderabad.

Yes! Kalyan IT Hub offers 100% placement support, resume preparation, interview guidance, and mock interviews for all students completing AWS Data Engineering Training.

Yes, we offer both online and classroom training modes for AWS Data Engineering Training in Hyderabad, making it flexible for students and working professionals.

Basic knowledge of SQL and Python is helpful, but not mandatory. We start from scratch so even beginners can join our AWS Data Engineering Training program.

Absolutely! Our AWS Data Engineering Training is designed to prepare you for AWS Certified Data Analytics – Specialty and other relevant certifications with real-time projects and hands-on labs.

Our AWS Data Engineering Training in Hyderabad typically takes 8–10 weeks, including real-time projects, hands-on labs, and interview preparation sessions.

During the AWS Data Engineering Training, you will build data pipelines using Amazon S3, AWS Glue, Amazon Redshift, and Amazon EMR to gain real-world experience and become job-ready.

Yes, our Kalyan IT Hub offers AWS Data Engineering Training in Hyderabad from scratch. Even beginners with zero cloud background can learn step by step and become skilled AWS Data Engineers.

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