Data Engineering

Master data engineering with ETL pipelines, data warehousing, and big data technologies. Learn Apache Spark, Airflow, and modern data stack tools.

Intermediate to Advanced2 months

Next Batch Starts: 8th January 2025

Program Highlights

✓ ETL pipeline development
✓ Data warehousing concepts
✓ Apache Spark & Airflow
✓ Real-time data processing
✓ Cloud data platforms

About Course

Comprehensive data engineering course covering data pipelines, warehousing, and big data processing. Build scalable data infrastructure for modern applications.

Course Curriculum

Data Engineering Basics

• ETL Concepts
• Data Modeling
• SQL Advanced
• Data Quality

Big Data Tools

• Apache Spark
• Apache Airflow
• Kafka
• Data Lakes

Cloud Data Platforms

• AWS Data Services
• Azure Data Factory
• Snowflake
• BigQuery

Data Pipelines

• Pipeline Design
• Orchestration
• Monitoring
• Optimization

Projects

• Real-time Pipeline
• Data Warehouse
• Analytics Platform

Target Audience

→ Data analysts
→ Software engineers
→ Database professionals
→ Career switchers

Pre-requisites

Basic SQL and Python knowledge

Frequently Asked Questions

Do I need prior data experience?

Basic SQL and Python knowledge is recommended.

What tools will I learn?

Spark, Airflow, Kafka, and cloud data platforms.

Is this suitable for beginners?

Intermediate level - some programming experience needed.

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