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Service Engineer Resume

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.

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