Data Engineering Complete Course

Module 1: SQL for Data Engineering

In this module, students will learn SQL from beginner to advanced level. They will start with fundamental queries such as SELECT, WHERE, GROUP BY, and JOIN, and gradually move to advanced concepts like Window Functions, CTE, Indexing, and query optimization. This module will also prepare students for real-world SQL interview questions and problem-solving scenarios required for data engineering roles.

Module 2: Big Data Processing with Apache Spark & PySpark

This module introduces distributed computing using Apache Spark and PySpark. Students will learn Spark architecture, cluster computing, schema management, data transformation, and performance optimization. They will also work with SparkSQL, Parquet files, and build scalable data processing workflows used in real big data environments.

Module 3: Cloud Data Engineering with Azure, Databricks & BI Integration

Students will learn how to build end-to-end cloud data pipelines using Azure Data Factory, Azure Data Lake, and Databricks. They will implement Medallion Architecture, perform data ingestion, transformation, and storage using Delta Lake, and connect processed data to Power BI for dashboard creation and business reporting.

Module 4: Data Transformation & Pipeline Development using DBT

This module focuses on modern data warehouse transformation using DBT and Snowflake. Students will learn to build scalable data models, implement data quality testing, manage Slowly Changing Dimensions, and orchestrate pipelines using tools like Dagster. They will also learn project documentation, monitoring, and production deployment practices.

Module 5: Advanced Data Engineering, Real-Time Processing & DevOps

In this final module, students will work on real-world end-to-end data engineering projects. They will learn real-time data processing using Spark Streaming and Kafka, implement CI/CD pipelines using Azure DevOps, manage data governance using Unity Catalog, and build production-ready automated data pipelines using Delta Live Tables and modern DevOps practices.

Course Features

Total Class – 20

Total Duration – 26 Hours

Total Quizzes – 5

Live Support and Solve Class

Verified Certificate after Course Completion