Prashant Koralli

I’m a results-driven Azure Data Engineer with 6+ years of experience designing and implementing scalable cloud data solutions on Microsoft Azure. I build end-to-end ETL/ELT pipelines using Azure Data Factory (ADF v2) for on-premises and cloud data sources, and I integrate orchestration across services like Logic Apps and Databricks notebooks.

I bring hands-on expertise with Azure Databricks using Python and PySpark for large-scale data ingestion, transformation, and analytics. I use Spark SQL and DataFrame APIs for complex joins, aggregations, window functions, and performance tuning, while designing Azure Data Lake Storage Gen2 architectures with raw, curated, and analytics layers to support enterprise reporting.

I also strengthen analytics and reporting foundations with Azure Synapse Analytics, Azure SQL Database/Dedicated SQL Pools, and strong T-SQL development (DDL/DML) including stored procedures, views, functions, temp tables, and query optimization. I’ve migrated and modernized SQL Server databases with minimal downtime, implemented secure ingestion frameworks using Azure Key Vault, managed identities, and RBAC, and delivered BI outcomes through SSAS models, SSRS reports, and Power BI Service deployments—always focused on data quality, reliability, governance, and measurable performance improvements.