Apache Spark, Kafka & Airflow for Data Engineers - May 2026

Master modern data engineering concepts with hands-on training in Apache Spark, Kafka, and Airflow. Learn real-time data streaming, batch processing, workflow orchestration, and scalable pipeline development through practical industry-oriented projects in this 1-month intensive crash course.

Course Instructor: Santhosh

₹10000.00 ₹15000.00 33% OFF

Course Overview

This 1-month crash course is designed for aspiring and working Data Engineers who want to gain practical experience with modern data engineering tools used in real-time industry projects. The program focuses on building scalable data pipelines, processing large datasets, handling real-time streaming data, and automating workflows using leading Apache technologies.

Participants will learn:

Apache Spark for distributed data processing
Apache Kafka for real-time data streaming
Apache Airflow for workflow orchestration and scheduling
Batch & streaming data pipeline concepts
ETL/ELT architecture and best practices
Real-time project implementation with hands-on practice

By the end of the course, learners will be able to design and manage modern data engineering workflows commonly used in enterprise data platforms and cloud ecosystems.

Schedule of Classes

Start Date & End Date

May 18 2026 - Jun 30 2026

Course Curriculum

1 Subject

Apache Spark, Kafka & Airflow for Data Engineers - May 2026

5 Learning Materials

CICD Pipelines

Class-1

Video