Vijay Kumar

I’m a Data Engineer with around 4 years of experience designing scalable data pipelines and integrating diverse sources like SAP, JDA, Kinaxis, and BlueYonder. I focus on building reliable, governed data systems that help teams make faster, better supply-chain decisions.

At Mu Sigma, I led a Data Mesh implementation using Apache Spark for decentralized data ownership across supply chain domains, improving data accessibility by 30%. I also automated robust ETL pipelines in Azure Data Factory, reducing processing time by 25% and optimizing data flow across domains.

I’ve delivered end-to-end supply chain analytics solutions, including Power BI reporting for Demand Comparison and Supply reports. For data migration from JDA to Kinaxis, I designed scalable pipelines with Python, SQL, and DAG workflows—reducing migration time while ensuring zero data loss.

My approach blends strong engineering fundamentals with governance: I apply data access rules for security, compliance, and consistency, and I’ve maintained 100% compliance with Azure-based data lake standards. I bring deep expertise across SQL, Python, Azure, Spark, and Hadoop, plus CI/CD automation to cut manual effort and accelerate delivery cycles.