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Big Data ETL Data Management Program

Experience & Completion Certificate from Edjamon

Access to all program material and tool

Hurry! Limited seats available

About This Program

Master Big Data tools like Hadoop/Spark, design ETL pipelines with Airflow, and implement real-time streaming with Kafka. Get job-ready in 3 months with hands-on cloud projects.

Course Overview

This intensive 3-month professional program transforms beginners into job-ready Big Data and ETL Developers. Learn to build, automate, and optimize enterprise-scale data pipelines using the Hadoop Ecosystem, Spark, Kafka, Airflow, and leading Cloud Data Platforms like AWS Redshift and GCP BigQuery.

What You Will Learn

Core Big Data concepts and setting up Hadoop/Spark

Building and managing ETL pipelines with structured and unstructured data

Data ingestion and real-time streaming using Kafka and Spark Streaming

ETL automation and workflow orchestration with Apache Airflow

Managing structured, semi-structured, and NoSQL data (MongoDB, Cassandra)

Deploying projects on Cloud Data Platforms (AWS Redshift, GCP BigQuery)

Implementing batch vs. streaming pipelines

Data Governance, Security, and Performance Optimization techniques

Building an end-to-end analytics pipeline portfolio project

Hands-on Projects

Apply your learning through real-world projects that build your portfolio

Beginner

Data Migration Project

Move structured data from MySQL to Hadoop/Hive using Apache Sqoop

Technologies:

MySQLHadoopSqoop

Intermediate

Log Data ETL Pipeline

Ingest and transform unstructured log files using Apache Spark

Technologies:

SparkPythonUnstructured Data

Intermediate

Real-time Streaming Pipeline

Build a real-time ETL pipeline using Kafka and Spark Streaming

Technologies:

KafkaSpark StreamingReal-Time Data

Intermediate

ETL Automation with Airflow

Orchestrate complex ETL workflows and scheduling with Apache Airflow

Technologies:

Apache AirflowPythonDAGs

Advanced

Capstone Project: End-to-end Analytics Solution

Complete a comprehensive project from data ingestion to a Data Lake/Warehouse and visualization dashboard

Technologies:

Full PipelineCloudData GovernanceDashboard

Unique method to make you professionally rich

Progress through our comprehensive program which makes qualified professional to earn their awards

Bronze Award

Begin your journey with foundational skills and basic certification.

Duration: 1-3 months

Trainee

Begin your journey with foundational skills and basic certif...

1-3 months

Programmer

Advance your programming skills with intermediate level cert...

3-6 months

Developer

Become a proficient developer with advanced certification....

6-8 months

Engineer

Master engineering principles with expert level certificatio...

9-12 months

Masters

Achieve mastery with our highest level of certification....

12+ months

Course Curriculum

Technologies You Will Learn

Master the most in-demand tools and technologies for data analytics

Big Data Tools: Hadoop, Spark, Hive, Sqoop, Flume

ETL & Workflow Tools: Apache Airflow, Talend (optional)

Streaming Tools: Apache Kafka, Spark Streaming

Databases: MySQL/PostgreSQL, MongoDB, Cassandra

Cloud Data Platforms: AWS Redshift, GCP BigQuery, Azure Data Factory

Languages: Python, SQL, Scala (intro level)

Version Control: Git / GitHub

Visualization: Power BI, Tableau

What Our Students Say

Hear from our students who have transformed their careers

"Edjamon’s Big Data & ETL program gave me the confidence to work with Hadoop and Spark in just 3 months. I went from reading theory to actually building ETL pipelines and managing data warehouses. The structured learning path made complex topics simple."

Rahul S.

Bangalore

"By the end of the program, I was able to design and automate ETL workflows using Apache Airflow and handle real-time streaming with Kafka. The projects prepared me for real-world data engineering roles."

Meera K.

Chennai

"The hands-on approach was the best part. Now, I can confidently explain and implement batch vs. streaming pipelines in interviews after working with NoSQL databases like MongoDB and Cassandra."

Siddharth P.

Hyderabad

"This program wasn’t just about tools. We worked with cloud platforms like AWS Redshift and BigQuery, applied data governance practices, and delivered a capstone project simulating industry use cases. I feel industry-ready."

Farah A.

Mumbai

"The mentors at Edjamon were exceptional. I have a portfolio project that showcases an end-to-end analytics pipeline, which recruiters loved."

Karan V.

Pune

Why Choose Edjamon?

Discover the difference between Edjamon and traditional platforms

Features & Criteria	EdJAMON	Others
Duration	3 Months (intensive, professional program)	3–6 Months (varying duration, often less focused)
Learning Format	Live Classes + Mentor Support + Hands-on Projects	Mostly self-paced/recorded videos or large batch live classes
Core Focus	Deep ETL, Real-Time Streaming, Cloud Data Pipelines	May focus more on basic data analytics rather than deep ETL
Data Governance/Security	Strong emphasis on best practices for Governance, Security, and Optimization	Weak focus on data governance/security or performance optimization
Real-Time Streaming	Dedicated module on Kafka + Spark Streaming and real-time ETL	May not always include real-time streaming in depth
Cloud Tools	AWS Redshift, GCP BigQuery, Azure Data Factory for deployment	Limited exposure to end-to-end cloud deployment
Mentorship & Code Reviews	Exceptional mentors, small batches, and frequent code review feedback	Mentorship minimal or uneven quality; large batch sizes
Capstone Project	End-to-end pipeline simulating industry use cases	Short courses lack capstone scale or production-level deployment

Key Highlights

Faster: Become job-ready in 3 months

Smarter: Build real-time ETL pipelines

Stronger: Master Hadoop, Spark, Kafka, Airflow, and Cloud Data Platforms

Professional: Complete end-to-end capstone project

Job Roles After Program

Explore exciting career opportunities

Big Data Engineer

ETL Developer

Data Engineer

Data Integration Specialist

Cloud Data Engineer

Business Intelligence (BI) Engineer

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