Data Engineer Intermediate to Advanced

Take your Data Engineering skills to the next level by mastering advanced concepts, real-world architectures, and performance optimization techniques used in top companies.

This course is designed for professionals who already understand the basics and want to become strong, industry-ready Data Engineers capable of designing and handling large-scale data systems.

What you’ll learn:

• Advanced SQL optimization and performance tuning
• Designing scalable ETL/ELT pipelines
• Data modeling (Star Schema, Snowflake Schema, real-world design patterns)
• Building and managing data warehouses and lakehouse architectures
• Workflow orchestration (Airflow or similar tools)
• Real-time vs batch processing concepts
• Cloud-based data engineering (AWS/GCP fundamentals in practice)
• Debugging, monitoring, and improving pipeline performance
• Handling large-scale data and cost optimization strategies

What makes this course different?

• Focus on production-level thinking, not just concepts
• Learn how to design systems like in real companies
• Deep dive into performance, scalability, and reliability
• Real-world scenarios, edge cases, and problem-solving approach
• Insights from hands-on industry experience

Who is this for?

• Data Engineers with basic experience
• Backend/Software Engineers moving into Data roles
• Professionals preparing for product-based companies
• Anyone aiming for high-paying Data Engineering roles

By the end of this course, you’ll be able to design, optimize, and manage robust data pipelines and confidently handle real-world data engineering challenges.