DURGA SAI PRASAD KUNDURI

Client: Ericsson.

Key Responsibilities:

• Developed scalable data ingestion pipelines using Azure Data Factory to extract data from on-premises SQL source systems and flat files, and load it into Azure Data Lake Storage Gen2 in a secure and efficient manner.
• Built data transformation workflows in Azure Databricks using PySpark and Python, focusing on data cleansing, enrichment, and schema standardisation.
• Designed and implemented end-to-end ETL workflows by orchestrating data extraction from multiple structured and semi-structured sources, transforming it using PySpark in Azure Databricks, and loading the processed data into Azure Synapse Analytics for business consumption.
• Wrote optimised SQL queries and transformation logic to support data aggregation, and reporting requirements.
• Managed data storage and lifecycle in Azure Data Lake Storage Gen2, organising data into raw, curated, and presentation zones as per medallion architecture.
• Created and maintained data models in Azure Synapse Analytics to support analytical queries and downstream reporting tools.
• Implemented monitoring and alerting mechanisms using Azure Monitor and Log Analytics for proactive pipeline health tracking.
• Worked closely with business analysts, architects, and QA teams in an Agile development environment to deliver production-ready data solutions.
• Certified in Microsoft Fabric Analytics Engineer Associate (DP-700), demonstrating expertise in end-to-end data analytics solutions using Microsoft Fabric.