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Data Engineering using AWS Data Analytics

Udemy · Durga Viswanatha Raju Gadiraju · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.2/10

Duration

25.5 hours video

Classes

421

Build Data Engineering Pipelines on AWS using Data Analytics Services including Glue, EMR, Athena, Kinesis, Lambda, Redshift.

What you'll get

Build scalable ETL/ELT data pipelines on AWS

Process big data with Apache Spark

Build real-time streaming pipelines with Kinesis

Course Curriculum

12 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Complete beginners

Non-technical learners

Prerequisites & pricing

Prerequisites

Basic SQL and Python

Pricing

$14.99

Certification

Certificate

Growth Leverage: Completing this course equips you for roles such as Data Engineer, Data Analyst, or AWS Solutions Architect, opening doors to advanced certifications like AWS Certified Data Analytics. This positions you for significant career advancement in industries relying on cloud-based data solutions.

Skills Value: The skills learned enable you to design and implement robust data pipelines, addressing employer needs for efficient data processing. Professionals in data engineering can command salaries exceeding $100,000 annually, reflecting high demand in the job market.

AWS

Glue

EMR

Athena

Kinesis

Lambda

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