Saroj Paudel

I’m a versatile Azure Data Engineer with 6+ years of experience designing, delivering, and optimizing scalable cloud-native data platforms for enterprise analytics and reporting. I focus on building reliable ETL and ELT pipelines that process high-volume structured and semi-structured datasets while protecting data quality and performance.

In my work, I architect Lakehouse solutions on Azure Data Lake Storage Gen2 with Delta Lake, enabling schema evolution, metadata governance, and high-performance querying through Azure Synapse Analytics and Azure SQL Database. I also design streaming ingestion and transformation using Azure Event Hubs and Azure Stream Analytics to deliver minimal-latency analytics and near real-time business intelligence.

Recently at Festo Inc, I’ve worked as a Fabric Data Engineer, designing and maintaining enterprise-scale data architecture using Microsoft Fabric Lakehouse. I optimized Fabric Data Factory pipelines and Spark notebooks, improving processing efficiency by 30% while reducing compute costs, and implemented a data quality framework with validation rules, reconciliation processes, and monitoring controls.

I’m especially effective at turning business requirements into governed, actionable analytics through orchestration and automation with event-driven tools like Azure Functions and Azure Logic Apps. I enforce security best practices using RBAC, Azure Key Vault, and Azure Active Directory, and I modernize legacy ETL systems by migrating them into cloud-based Lakehouse and scalable warehouse architectures for long-term sustainability.