Anshul Sharma

Databricks Engineer @Microsoft

Toronto, ON, CA

Azure Databricks & Big Data Processing: Troubleshoot and resolve complex technical issues in Azure Databricks, Apache Spark, ADF, Synapse, and Azure Storage, ensuring seamless data integration and high-performance processing. • Performance Optimization: Tune Spark jobs, optimize cluster configurations, and implement cost-saving strategies for efficient resource utilization and scalable big data workloads. • Networking & Security: Resolve VNET, Private Link, firewall, and network connectivity issues, while enforcing RBAC, IAM policies, and access control for secure data pipelines. • Root Cause Analysis & Debugging: Conduct deep-dive RCA on failed Spark jobs, cluster failures, and security incidents using Spark UI, job logs, and execution plans to improve system reliability. • Monitoring & Automation: Leverage Azure Monitor, Log Analytics, and Application Insights to track performance, detect anomalies, and proactively prevent failures. • Global Collaboration: Work with cross-functional teams across time zones, delivering scalable, high-availability data solutions that drive business impact. • Documentation & Knowledge Sharing: Maintain comprehensive troubleshooting guides and technical documentation, enabling faster issue resolution and continuous process improvement.

Gujarat Technological University (GTU)

Bachelor of Engineering - BE, Computer Science

University of Windsor

Master of Applied Computing - MAC, Artificial Intelligence