Azure Data Factory End to End Project with Praveen Patel

𝗔𝗿𝗲 𝘆𝗼𝘂 𝘁𝗶𝗿𝗲𝗱 𝗼𝗳 𝘁𝗵𝗲𝗼𝗿𝘆-𝗵𝗲𝗮𝘃𝘆 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗵𝗮𝘁 𝗹𝗲𝗮𝘃𝗲 𝘆𝗼𝘂 𝗰𝗼𝗻𝗳𝘂𝘀𝗲𝗱 𝘄𝗵𝗲𝗻 𝗶𝘁’𝘀 𝘁𝗶𝗺𝗲 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗿𝗲𝗮𝗹 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ?

This Azure Data Factory End-to-End Project Course is designed to take you beyond concepts and into the real-world data engineering workflows that top companies expect you to know.

𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝘁𝗵𝗶𝘀 𝗰𝗼𝘂𝗿𝘀𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 ?

Instead of just “Hello World” pipelines, you’ll work on a full-scale enterprise-grade project covering -

✔ Building ETL pipelines to ingest billions of rows from multiple sources (SQL, API, Blob, ADLS, etc.).

✔ Orchestrating data flows with parameterized & reusable pipelines.

✔ Implementing data transformations with Mapping Data Flows.

✔ Handling real-time challenges like schema drift, performance bottlenecks, and incremental loading.

✔ Automating pipelines with triggers, monitoring, logging, and alerts for production readiness.

✔ Designing with cost optimization & best practices in mind.

💡 By the end of this project, you won’t just “know” ADF—you’ll be job-ready to confidently tackle real interview scenarios and workplace challenges.

𝗪𝗵𝘆 𝗹𝗲𝗮𝗿𝗻𝗲𝗿𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗶𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗰𝗼𝘂𝗿𝘀𝗲 𝗼𝘃𝗲𝗿 𝗼𝘁𝗵𝗲𝗿𝘀?

✔ Learn by doing a complete project, not random features.

✔ Covers integration with Azure Data Lake Gen2, Azure SQL Database, Microsoft SQL Server Management Studio.

✔ Includes industry-level case studies

✔ Built for Data Engineer interviews – with scenario-based problem solving.

✔ Practical tricks for performance tuning & cost savings that competitors often skip.

🎓 𝗪𝗵𝗼 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗳𝗼𝗿 ?

✔ Aspiring Data Engineers looking to break into Azure projects.

✔ Professionals stuck with theory who want hands-on project expertise.

✔ Learners preparing for top companies’ data engineering interviews

🔥 By completing this course, you’ll have a portfolio-ready project to showcase in your resume, LinkedIn, or interviews—giving you the edge that most learners miss.

𝗗𝗼𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗹𝗲𝗮𝗿𝗻 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗶𝘁 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗮𝗻𝗱 𝗺𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝗮𝗿𝘁 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.