Course Overview
Data is the backbone of modern industries, driving decisions and innovations. As a Data Engineer, you will design and manage systems that process vast amounts of information efficiently. This course starts with Python, SQL, and ETL fundamentals, then moves into Big Data technologies like Hadoop, Spark, and Hive to help you build scalable data pipelines.
You will also learn how to work with cloud platforms like AWS, GCP, and Databricks, optimize workflows, and implement real-world data solutions. By the end of the program, you’ll have the skills and confidence to take on high-demand Data Engineering roles in top companies.
What You’ll Experience
- Hands-on experience with Python, SQL, and Linux for data engineering
- Deep dive into ETL pipelines, data warehousing, and schema design
- Mastering Big Data with Hadoop, Apache Spark, Hive, and Streaming
- Cloud-based data engineering with Databricks, Delta Lake, and advanced services
- Optimized DataOps through performance tuning, DevOps, and security best practices
- Strong foundation in Data Structures, Algorithms, and System Design
Syllabus
Core Data Foundations
- Python
- SQL
ETL & Data Ware housing
- ETL Pipelines
- Data Warehousing
Advanced Data OPS
- Advanced Data Engineering
- Devops for Data Engineering
- Data Security
DSA & System Design
- DSA
- System Design
Learning Outcomes
- Expertise in data pipelines.
- Proficient in cloud, big data, and databases
- Skilled in automating workflows.
- Strong in data orchestration.
- Knowledge of security and governance.
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