Narayana Reddy

I am an Azure Data Engineer with six years in IT, including 4.3 years focused on Azure data platforms. I build end-to-end data solutions using Azure Data Factory, Databricks, Synapse Analytics, Data Lake and Delta Lake to deliver timely, reliable reporting.

My hands-on work includes designing and implementing ADF pipelines, PySpark-based transformations in Databricks, and loading structured data into Azure SQL and Synapse. I have implemented incremental pipelines, SCD Type 1 logic, and optimization techniques for Delta Lake storage.

I collaborate closely with data mapping, cleansing, visualization and BI teams to ensure data quality and business alignment, and I conduct unit testing to validate pipelines and notebooks. I have experience integrating varied sources including on-premises systems, Blob Storage, Oracle, Snowflake and AWS connectors.

I bring practical SQL Server experience (views, functions, triggers, indexes, CTEs, temp tables) and a strong grasp of Spark architecture. I work well independently and in teams to translate business requirements into scalable data solutions.