Krishnan S

Experienced Senior Azure Data Analyst/ Architect with a proven track record of designing and implementing scalable cloud data platforms using Azure Databricks, Synapse Analytics, Microsoft Fabric, Power BI, and Power Apps. Skilled in building enterprise grade ETL/ELT pipelines, data Lakehouse’s, and self service BI ecosystems while ensuring strong data governance and operational excellence.

Designed and architected large scale, cloud native data platforms on Azure using Blob Storage, ADLS Gen2, ADF, Synapse, Azure Databricks PySpark /Python /Scala, DWH, and Delta Lake for scalable and high performance data processing.

Throughout my career, I have successfully designed and implemented enterprise scale data ecosystems using core Azure services, including Azure Databricks Python, PySpark, Delta Lake, Azure Synapse Analytics Dedicated and Serverless SQL Pools, and Azure Data Factory for orchestrating complex ETL/ELT pipelines. I have also built robust Lakehouse architectures.