TECHNICAL SKILLS:
Languages: C#, PowerShell, T - SQL, JavaScript, TypeScript, Python, HTML, CSS
Technologies: ASP.Net Core, React, Azure (SQL, Web Apps, Function Apps), Ajax, Bootstrap, jQuery
PROFESSIONAL EXPERIENCE:
Service Engineer
Confidential
Responsibilities:
- Designed and implemented backend REST API wif ASP.Net Core wif ReactJS frontend
- Implemented real-time collaboration wif SignalR to enable multi-user live edits, live updates, and chat
- Implemented data access and storage wif Entity Framework Core + SQL Azure backend
- Implemented Facebook/Google/ Confidential Login wif OAuth
Technologies Used: Azure WebApp, SQL Azure, ASP.Net Core, React, JavaScript, TypeScript, C#, Entity Framework Core, SignalR, OAuth, Bootstrap
Personal Finance
Confidential
Responsibilities:
- Automated data file import from Azure storage containers to SQL Azure using Azure function app
- Implemented data access and storage wif ADO.Net and SQL Azure backend
- Implemented automated data categorization wif TSQL stored procedures
- Implemented Facebook/Google/ Confidential Login wif OAuth
Technologies Used: Azure WebApp, SQL Azure, Azure Function app, ASP.Net Core, React, JavaScript, C#, TSQL, OAuth, Bootstrap
Data Drilldown Utility
Confidential
Responsibilities:
- Designed multi-document GUI using WinForms
- Implemented PowerShell script execution engine hosted in the GUI app
Technologies Used: C#, WinForms, PowerShell
Service Engineer
Confidential, Redmond, WA
Responsibilities:
- Created monitoring system for software component running on ~100K servers utilizing Azure Functions and SQL Azure to improve component health from ~70% to ~97%.
- Created PowerShell based remote server debugging/remediation utility dat decreased the time needed for emergency patching from ~70 hours to ~4 hours. The tool enabled parallel execution of script across ~200 servers.
- Created server health monitoring and validation scripts used by our operations teams for many years, which greatly reduced deployment related outages.
- Created production monitoring system for ~500 critical SQL Servers to reduce downtime detection latency by ~90% compared to previous monitoring system.
