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Master AWS Data Engineering in Hindi
106 students
Master AWS Data Engineering in Hindi
Learn AWS S3, Glue, Redshift, EMR, Lambda, Athena, MWAA & more – in Hindi with hands-on projects.
Created byTechno Devs
Last updated 9/2025
Hindi
What you'll learn
- Understand AWS Lambda for serverless computing and develop functions in Python.
- Use AWS EMR to process large-scale data with Apache Spark.
- Leverage AWS Glue for ETL (Extract, Transform, Load) jobs and data cataloging.
- Orchestrate workflows with AWS Step Functions for robust automation.
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Course content
12 sections • 53 lectures • 39h 38m total length
Requirements
- No prior AWS experience is needed, my goal is to make the course accessible to beginners and working professionals in India
Description
This comprehensive AWS Data Engineering course in Hindi is designed for learners who want to master cloud-based data engineering using AWS, explained in simple Hindi for easy understanding.
Whether you're a complete beginner or an IT professional looking to shift into data engineering, this course takes you from basic AWS services to advanced real-world projects using Glue, EMR, and Airflow (MWAA).
By the end of this course, you will not only have hands-on experience with AWS tools but also gain the confidence to build end-to-end data pipelines, prepare for interviews, and qualify for high-paying job roles in the cloud data industry.
A data engineer designs, builds, and maintains a company's data infrastructure, ensuring that data is accessible for analysis and other uses.
What you’ll learn:
AWS S3 for Data Lake setup
PostgreSQL & DynamoDB integration
Serverless querying with Athena
Redshift, Redshift Spectrum & Federated Queries
Building ETL Pipelines with AWS Glue (Studio & Job Scripts)
Orchestrating Data Pipelines with AWS Step Functions
Apache Airflow (MWAA) for workflow management
Creating scalable EMR clusters for big data processing
Real-world Projects: Incremental Loads, ETL Automation
Who is this course for?
Hindi-speaking beginners who want to start a data engineering career
Developers transitioning to cloud data pipelines
IT professionals looking to implement AWS in real-world data workflows
Who this course is for:
- This course is specially designed for Hindi-speaking learners who want to build a career in cloud-based data engineering using AWS services. Whether you're a student, a fresher, or a working professional, this course will help you understand and implement real-world data pipelines using tools like AWS Glue, EMR, Lambda, Step Functions, and Apache Airflow (MWAA) — all explained in simple Hindi.
- This course is useful for software engineers or ETL developers who want to transition into data engineering roles.
- No prior experience with AWS is necessary. Basic Python and cloud knowledge will be helpful but not mandatory.
- Professionals who want to upgrade their skills to get a better job and higher salary package