Sarasija Sharma

• Developed the “Azure Cost Estimator” application using Python, SQL, React JS, and Power BI, enabling cloud cost tracking and prediction.
• Created interactive dashboards in Power BI and Tableau for monitoring clinical systems such as OneCall, Vocera, and Nurse Call.
• Built end-to-end ETL/ELT data pipelines using Azure Data Factory and Azure Databricks to streamline data ingestion and transformation.
• Leveraged Azure Log Analytics and KQL for real-time alerting and monitoring of critical healthcare applications.
• Enhanced C-suite reporting capabilities by developing executive dashboards to visualize KPIs and operational metrics.
• Saved over 15,000 business hours and Rs. 2.5 billion through optimized data insights and reporting automation.

Key Projects:

• Azure Cost Estimator
  Tools: Azure Data Factory, Power BI, SQL, React JS, Python
  Created dashboards for cloud infrastructure cost predictions.
  Delivered insights that helped achieve major business cost savings.
• Clinical Voice Applications Monitoring
  Tools: Power BI, Azure Log Analytics, KQL, SQL
  Built real-time dashboards for OneCall, Nurse Call, and Vocera.
  Enabled proactive issue resolution, reducing downtime by 25%.
• ETL/ELT Optimization Project
  Tools: Azure Data Factory, SQL, Python
  Built scalable pipelines to support data-driven decision-making.
  Increased pipeline efficiency by 40% through optimization.
• Genesys Dashboard creation.
• Developed a Genesys-based management dashboard using ADF and Power BI, improving data visibility for 3,000+ employees, and saving 1,000+ hours by automating manual reporting processes.

Key Projects

Monitoring Framework for Clinical Voice Applications
Tools: Azure Log Analytics, KQL, Power BI, Azure Monitor

• Designed a monitoring framework to track system health and critical events for clinical systems like Rauland Responder, Vocera, and OneCall.
• Utilized Azure Log Analytics Workspace to collect telemetry and configure alerts for high-priority triggers.
• Created Power BI reports to visualize trends in alert frequencies and system uptime.
• Enabled early detection of issues, helping reduce escalations and improve operational readiness.

Dashboard for Real-Time Nurse Call System Monitoring
Tools: Power BI, SQL, Azure Data Factory

• Developed a real-time dashboard to monitor response times and alert patterns in the Nurse Call system across departments.
• Integrated backend telemetry using SQL and Azure Data Factory to feed Power BI.
• Helped nursing leadership identify delays in response time, contributing to faster patient care and better service-level compliance.