Prashanth T Email & Phone Number

Milton Keynes, England, United Kingdom

Designed and managed scalable data pipelines using Azure services, including HDInsight, DataLake, and Data Factory, resulting in a 25% reduction in processing time.Integrated diverse data sources (on-premises MySQL, Blob Storage, Azure SQL DB) into Azure Synapse, enhancing data accessibility and analytics capabilities.Developed and automated ETL processes using Python and PySpark, streamlining workflows and automating 75% of data tasks.Created data ingestion pipelines on Azure HDInsight and integrated with Cosmos DB for real-time data processing and analysis.Optimized table architectures in Azure SQL Data Warehouse, improving query performance by 40%.Implemented robust monitoring and error-handling mechanisms to ensure data integrity and system reliability.

Managed end-to-end ETL pipelines using Azure Data Factory, improving data processing efficiency by 35% through optimized workflows.Architected and maintained the Snowflake Data Warehouse, designing schemas, and implementing partitioning strategies for optimal performance.Developed and optimized complex SQL queries, stored procedures, and UDFs, leveraging Snowflake Streams and Tasks for efficient incremental data processing.Configured Snowpipe for real-time data ingestion from Azure Data Lake and AWS S3, minimizing latency for downstream analytics.Led performance optimization initiatives, reducing query execution time and enhancing cost efficiency through fine-tuning of virtual warehouses and auto-scaling.Integrated Snowflake with tools such as Power BI and Matillion, creating dynamic dashboards and reports to facilitate data-driven decision-making.Conducted thorough data validation and quality assessments, ensuring the integrity and accuracy of data within Snowflake.