Summary
Madhur Mehta is a senior data engineer and data analyst with a decade of experience delivering end-to-end data solutions across on-premise, cloud and big data platforms. He has hands-on expertise in designing data models and ETL pipelines using Azure (Data Factory, Data Lake, Synapse, Databricks) and AWS services, along with Hadoop/Spark-based processing for large-scale datasets. He has led data migrations to cloud data warehouses (Snowflake, Redshift, Azure Synapse) and built BI reporting layers with Power BI, Tableau, and SSAS. His work spans data governance, master data/metadata management and data quality, ensuring robust, auditable data landscapes. He thrives in cross-functional environments, delivering scalable architectures in Agile settings and integrating data across diverse sources—from RDBMS to NoSQL (MongoDB, HBase) and big data stores. Based in the United States, he brings a pragmatic, results-driven approach to turning complex requirements into reliable data-driven insights.
11 years of coding experience
8 years of employment as a software developer