Sandeep Singh

Associate Deal Manager

Sunnyvale, California, India
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Summary

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Rockstar
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Sandeep Singh is an operations-focused deal manager with 12 years of cross-functional experience spanning sales operations, contract administration, and business process services, currently driving deal execution at Workday from Sunnyvale. He pairs an MBA in International Business with hands-on experience managing complex commercial workflows at FIS and DXC Technology, bringing a blend of commercial acumen and process rigor to sales enablement. Unusually for an operations professional, Sandeep also contributes to high-profile open-source backend projects such as Apache Spark and Scala.js, where he has fixed memory leaks, upgraded dependencies, and extended core library functionality. That combination of enterprise deal orchestration and real-world software contributions gives him a practical edge in translating technical constraints into executable commercial outcomes.
code12 years of coding experience
job3 years of employment as a software developer
bookMaster of Business Administration (M.B.A.), International Business, Honors Degree, Master of Business Administration (M.B.A.), International Business, Honors Degree at Prestige Institute of Management & Research, Ring Road, Indore
bookBachelors of Commerce, Taxation, Bachelors of Commerce, Taxation at Maharaja Ranjit Singh College of Professional Sciences, Hemkunt Campus, Village Palda, Khandwa Road, Indore-452017
languagesEnglish, Hindi, French, Punjabi
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Github Skills (17)

apache-spark10
back-end-development10
refactor10
java10
scala10
javas10
refactoring10
mesos9
lang9
compiler-compiler9
compiler9
data-structures8
data-structure8
algorithms8
algorithm8

Programming languages (5)

JavaScalaJavaScriptHTMLPython

Github contributions (5)

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apache/spark

Dec 2016 - Jan 2023

Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
userBack-end Developer
Contributions:31 reviews, 25 commits, 102 PRs in 6 years 2 months
Contributions summary:Sandeep primarily focused on enhancing the Apache Spark codebase. Their contributions involved upgrading dependencies, refactoring code, and fixing bugs. Key changes include upgrading the Mesos dependency and refactoring to use while loops for better code structure, and fixing a memory leak. They also worked on examples and added new feature to the example app.
analyticspythondata-processingsqlapache
scala-js/scala-js

Jan 2014 - Feb 2014

Scala.js, the Scala to JavaScript compiler
Role in this project:
userBack-end Developer
Contributions:9 commits in 26 days
Contributions summary:Sandeep primarily contributed to the implementation of Java library functions within the Scala.js project. Their work focused on adding features to java.util.Random, java.util.Arrays (including binary search, copyOf, and copyOfRange methods), and java.lang.Math (with the addition of cbrt, nextUp, nextAfter, ulp, hypot, expm1, sinh, cosh, and tanh methods). They also added exception classes such as IndexOutOfBoundsException. These contributions suggest a focus on expanding the functionality of the Java standard library available within the Scala.js environment.
functional-programmingjavascript-compilerscalajsjavascriptcompiler
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Sandeep Singh - Associate Deal Manager