Azure Data Engineering Explained in Telugu

I am looking for an experienced Azure Data Engineer with real-time hands-on project experience for a 1-hour phone call only.

During the call, I would like you to explain a complete end-to-end Azure Data Engineering project in Telugu, including:

* Real-time project architecture and data flow
* Azure Data Factory pipelines and orchestration
* ADLS Gen2 data lake structure
* Azure Databricks and PySpark transformations
* Bronze, Silver, Gold / Medallion Architecture
* Incremental loading and watermarking
* Delta Lake and SCD Type 1/Type 2
* Data validation, error handling and monitoring
* Performance optimization and production issues
* How the project is actually handled in a real-time company environment

Important: This is only a 1-hour phone call, not a long-term project or development work.

Please apply only if you have actual hands-on Azure Data Engineering experience and can explain the concepts clearly in Telugu.

Please mention your years of experience, Azure technologies used, real-time project experience, and your availability for a 1-hour call.