About

Rajnish Kumar is an experienced Senior Software Engineer with over 10.9+ years of experience in the IT industry. He is currently working as a Software Engineer 2 at Microsoft, where he has demonstrated his expertise in various roles such as SDE, SDET, UI/API Automation, DevOps & Service Reliability Engineer. Rajnish has worked across the full-stack using C#, .NET technologies, Data Structure, React Js, Script Sharp, Native code C++, Azure DevOps, Office 365, Dynamics 365, Powershell scripting, Azure, Azure SQL, SQL Server, Telemetry, Kusto Explorer, Unify, Jarvis Monitoring Tool, Cosmos, Automation Framework and Monitoring Tool Development, Power BI, Selenium & Appium, CI/CD, VSTS for continuous integration, Release Management, SOLID Principles & Design Patterns & Agile Methodology. Rajnish has a strong understanding of OOPS, C++, C#, React, Type script, .NET Core, ASP.NET, ASP.NET Core & WEB API, Dynamics 365 (CRM), Office 365 (Excel), Microsoft 365, HTML, JavaScript & TypeScript, Databases: SQL Server, ADO.NET, Entity Framework, EF Core, SSRS & Power BI, SOLID Principles & Design Patterns, Agile-Scrum methodology, TFS, VSTS, Git, VSO, Unit testing- MS unit, NUnit, Mock, CI & CD - VSTS, Powershell script, REST, Microsoft Dynamics CRM, Office 365, Telemetry, Kusto Explorer, Manual testing, Coded UI Testing, Selenium Web driver/Appium, Xpath, Tool Development, HTML, JavaScript & Various Automation Framework and Tools used like VSTS, MTM, TFS, Xamarin Studio, Microsoft Dynamics AX, Power BI, CI/CD, Git, VSO, API Automation, Azure SQL, Power App, Microsoft Flow, Agile Methodologies, Scrum, etc. Rajnish has a good understanding of Deployment and Machine management and has managed a team of 10+ members team working on Automation/Manual/Power BI reporting deliverable. He has implemented Prevention track CICD implementation (starting from PR to Production) using VSTS and Azure DevOps to improve quality, find regression issues and also reduced manual effort by 90%. Rajnish has also implemented Detection track implementation to measure Reliability and SLAs of the CRM application (Service Reliability of CRM application) to uncover and mitigate production