I have hands-on experience in designing end-to-end data pipelines using Microsoft Fabric, Azure Databricks, and PySpark. My work focuses on building efficient ETL workflows, implementing lakehouse architectures, and optimizing data processing for enterprise-scale systems.

Previously, I worked at Infosys, contributing to large-scale data migration projects from AWS to Azure. This helped me gain strong exposure to cloud data ecosystems and real-world data engineering challenges.

I am passionate about solving complex data problems, building reliable data platforms, and continuously learning new technologies in the evolving data landscape.