Summary
Avnish Yadav is a Senior Software Engineer and Azure-focused Data Engineer with 8 years of experience building scalable ETL pipelines, data warehouses, and cloud data platforms for enterprises like Swiss Re and GroupM. He specializes in Azure Data Factory, Databricks (PySpark), Synapse, ADLS Gen2 and automating CI/CD with Azure DevOps to deliver performant, event-driven data architectures. Avnish has repeatedly modernized legacy SQL and HDInsight solutions into cost-efficient Parquet/Synapse and Databricks implementations, reducing load and speeding refreshes in production analytics environments. Based in Bengaluru, he pairs hands-on engineering with a knack for cross-cloud data moves (Blob-to-S3) and practical mentorship via an educational YouTube channel focused on real-world Azure data engineering. Known for pragmatic optimization—once improving an ETL’s performance by up to 90%—he continuously explores emerging Azure patterns to streamline data workflows and observability.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Thakur College of Science & Commerce