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Data Engineer: Zero to Job Ready

Build a strong foundation in Data Engineering and learn how modern data systems are designed, built, and maintained in real-world organizations. This course takes you from Python and SQL fundamentals to production-ready data pipelines, covering the complete data engineering workflow. You’ll learn how to extract data from different sources, transform and validate it, build ETL/ELT pipelines, work with databases and data warehouses, process large datasets using distributed technologies, and orchestrate automated workflows. Throughout the course, you’ll work on hands-on projects and real-world use cases to understand how Data Engineers solve business problems using data. What You’ll Learn Python for Data Engineering Advanced SQL and Database Concepts ETL & ELT Pipelines Data Cleaning, Transformation & Validation Data Warehousing & Data Modeling Apache Airflow & Workflow Orchestration Apache Spark & PySpark Databricks & Big Data Processing Cloud Data Engineering Concepts Production-Style Data Pipelines Data Engineering Projects Interview & Placement Preparation Who Is This Course For? Beginners starting their Data Engineering journey Data Analysts looking to transition into Data Engineering Developers interested in data platforms and pipelines Students preparing for Data Engineering careers Professionals looking to build practical, industry-relevant skills By the end of the course, you’ll have the knowledge and project experience to design, build, and explain end-to-end data pipelines and understand the technologies used in modern data engineering environments.