Nirav Gandhi

Senior Software Engineer at Microsoft

Redmond, Washington, United States
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Summary

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Senior
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Nirav Gandhi is a Senior Software Engineer based in Redmond with six years of experience building large-scale data platforms, currently advancing cloud and analytics capabilities at Microsoft. He cut his teeth in healthcare at Cerner, where he designed Hadoop-based pipelines and automated onboarding processes that halved engineering effort and accelerated client migrations to AWS. Technically versatile across Java, Clojure, Python and big-data tooling (Hadoop, HBase, Hive, YARN), he blends backend systems work with scripting and CI/CD to ship reliable production services. Nirav also contributes to high-profile Azure Synapse sample notebooks, improving multi-language credentialing patterns for Scala, PySpark and .NET users. Known for mentoring peers and driving operational improvements, he brings both hands-on implementation skills and a pragmatic focus on reducing toil. His background in computer engineering and cross-domain internships informs a practical, full-stack approach to distributed data problems.
code6 years of coding experience
job9 years of employment as a software developer
bookBachelor of Engineering (B.E.) Electronics and Communication, Bachelor of Engineering (B.E.) Electronics and Communication at Gujarat Technological University
bookMaster of Science (MS) Computer Engineering, Master of Science (MS) Computer Engineering at Syracuse University
languagesEnglish, Gujarati, Hindi
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Github Skills (22)

notebook10
user-authentication10
authentication10
pyspark10
scala10
microsoft-azure9
angularjs9
ionic-framework9
azure9
dotnet8
asp-net8
net8
html6
amazon-s36
cdn6

Programming languages (2)

JavaPython

Github contributions (3)

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Azure-Samples/Synapse

May 2020 - Oct 2020

Role in this project:
userFull-stack Developer
Contributions:23 commits, 22 pushes, 1 branch in 5 months
Contributions summary:Nirav's contributions primarily focused on updating and refining notebooks related to obtaining credentials using the TokenLibrary within the Azure Synapse Analytics environment. They worked on various language implementations, including Scala, PySpark, and .NET C#, indicating a versatile approach to integrating with the Synapse platform. The changes involve updating connection strings and authentication methods within the TokenLibrary, likely improving the user experience and simplifying access to data and services within the Synapse ecosystem.
azure-synapse-analyticsanalyticsazure-synapsesynapse-analyticsazure
lm-sys/RouteLLM

Nov 2024 - Nov 2024

A framework for serving and evaluating LLM routers - save LLM costs without compromising quality
Contributions:1 issue in 1 day
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Nirav Gandhi - Senior Software Engineer at Microsoft