Years Of Experience
Projects Completed
Data Processed Daily
My Skill Set
Developing scalable ETL pipelines using Azure Data Factory and Databricks to process large datasets efficiently and ensure data reliability.
Designing cloud-based data architectures using Azure Data Lake, Delta Lake, and Databricks ensuring scalability, governance, and high-performance analytics.
Optimizing SQL queries, cluster configurations, and data pipelines to reduce latency, improve processing speed, and enhance system performance.
Why Choose Me
• Developed ETL pipelines using Azure Data Factory and Databricks processing 500GB+ daily data reducing storage costs by 25%.
• Engineered SQL transformations reducing execution time by 40% through query optimization and indexing techniques in Databricks environments.
• Designed Power BI dashboards visualizing 15+ KPIs enabling real-time monitoring and improved business decision-making processes.
• Implemented CI/CD pipelines using Azure DevOps reducing manual deployment effort by 50% across 10+ enterprise data projects.
• Established data validation frameworks reducing data errors by 35% across 20+ sources using Unity Catalog governance standards.
• Orchestrated ingestion workflows processing 2TB+ monthly data ensuring efficient data flow across multiple enterprise systems.
• Optimized Databricks clusters reducing compute costs by 30% while maintaining performance across 50+ concurrent workloads.
• Built dimensional models improving query performance by 60% supporting analytics use cases and faster reporting delivery.
• Automated monitoring workflows achieving 99.5% uptime reducing incident response time by 45% using Azure monitoring tools.
• Migrated 8 databases to Azure cloud infrastructure improving latency by 20% ensuring zero data loss during transition.
DEGREE
Data Engineering Lead
Technology Manager