If you are an aspiring data engineer tired of "Hello World" examples and want a portfolio ready project, this course has you build a production grade data lakehouse from scratch. Using Azure Databricks, you will ingest real estate data, implement Medallion Architecture (Bronze, Silver, Gold layers), master PySpark and Delta Lake, orchestrate automated workflows, and build native dashboards.

This Course Offers

• A Complete End to End Project: You will build a "Dubai Pulse" system that tracks millions of dollars in property transactions, from raw JSON ingestion to a live executive dashboard, all in the cloud.
• Hands On with Modern Data Stack: The course covers Azure Infrastructure (Data Lake Gen2, Key Vaults), Medallion Architecture, PySpark transformations, Delta Lake features like Time Travel and ACID transactions, and Databricks Workflows for orchestration.
• Zero Cost Strategy: You will learn how to build the entire enterprise architecture using the Azure Free Account ($200 credit) and smart cost management techniques, with no corporate email or paid subscription required.
• Native BI without External Tools: You will build stunning, auto updating dashboards directly inside Databricks using SQL visualizations, without needing Power BI or Tableau.

Why We Love This Course

1. It is project based and portfolio ready. Instead of isolated tutorials, you build a single, cohesive project that you can show to hiring managers as proof of your data engineering skills.
2. It uses a zero cost strategy. You do not need a corporate email or paid subscription. The course guides you through using Azure's free account with smart cost management.
3. It covers the modern data stack. Medallion Architecture, Delta Lake, PySpark, and native dashboards are exactly what employers are looking for in data engineering roles.
4. It is taught by a practitioner. The instructor is a Senior Data Engineer with hands on experience designing and building real world data platforms for startups and enterprises.

If you are an aspiring data engineer, data analyst looking to transition, or Python/SQL developer wanting to learn Big Data processing, this project based course gives you a flagship portfolio piece and practical cloud skills.

• Aspiring data engineers looking to build a portfolio ready project using the industry standard Modern Data Stack.
• Data analysts who want to transition into engineering by learning how to build the pipelines that feed their reports.
• Python or SQL developers interested in learning Big Data processing with Apache Spark and cloud architecture.
• Anyone who wants a practical, project based introduction to Azure Databricks and Delta Lake.

• No prior Azure cloud experience is required. The course guides you through setting up a free enterprise lab environment.
• Basic familiarity with SQL concepts (SELECT, FROM, WHERE) is recommended but not mandatory.
• A computer (Windows or Mac) with internet access to log into the Azure Portal is required.

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