Azure Data Engineering Explained in Telugu

@ujjwalmahar01

I have five years of hands-on experience building end-to-end data pipelines using Azure Data Factory, Databricks, and PySpark. I am comfortable explaining complex Medallion architecture and SCD implementations in Telugu. I currently manage production-grade data lakes and ETL workflows on Azure. I can walk you through the real-time challenges of incremental loading and performance tuning that we face in a corporate environment. A few questions to better understand the scope: Q1 - Are you looking to discuss a specific industry use case like retail or finance? Q2 - Should I focus more on the infrastructure setup or the transformation logic within Databricks? Q3 - What is your preferred time zone for the call? I am available for a call this week and can share the meeting link once we coordinate.

@venkatsreekanth

Hello, I have basic knowledge of Azure and can communicate fluently in Telugu. While I don't have extensive real-time Azure Data Engineering project experience, I'm actively learning Azure Data Factory, Databricks, and related services

@CliveMSoftware

I have 6+ years of hands-on Azure Data Engineering experience with real production projects involving Data Factory, Databricks, PySpark, and ADLS Gen2. I've built and optimized medallion architecture pipelines with incremental loading, delta lake implementations, and SCD Type 1 and Type 2 slowly changing dimensions. I'm fluent in Telugu and can explain complex Azure concepts clearly, covering real-world project architecture, performance tuning, error handling, and how enterprises actually manage these systems in production. I'm available for your 1-hour call immediately and will walk you through a complete end-to-end data engineering workflow with practical examples from my experience.