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Big Data ETL Data Management Program

Experience & Completion Certificate from Edjamon
Access to all program material and tool
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Big Data ETL Data Management 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.

About This Course

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 and showcase your skills

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
Silver Award
Gold Award
Ruby Award
Emerald Award

Bronze Award

Begin your journey with foundational skills and basic certification.

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 with our courses

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.

RS

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.

MK

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.

SP

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.

FA

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.

KV

Karan V.

Pune

Why Choose Edjamon?

Discover the difference between Edjamon and traditional learning platforms

Features & CriteriaEdJAMONOther Platforms
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 after completing this program

Big Data Engineer

ETL Developer

Data Engineer

Data Integration Specialist

Cloud Data Engineer

Business Intelligence (BI) Engineer

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Frequently Asked Questions

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Inclusions

3 months
Experience & Completion Certificate from Edjamon
Access to all program material and tool

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