Avkash Chauhan

San Francisco

I am Start-up architect (Consider swiss army knife for any Startup) and programmer by heart who can turns caffeine and pizza into Software. A Full Stack Developer with expertise in Java, C#, JavaScript, OOP, REST, Design Patterns, Hadoop, Spark, MapReduce. Throughly expertise in building Big Data Solutions and Distributed Application along with Hadoop Automation and Troubleshooting and maintaining large scale Hadoop clusters in cloud, on-premise or in virtualize environments using CDH, HDP, MapR, Pivotal and HDInsight. I have worked @ Microsoft, in HDInsight Team, Windows Azure Team, Built Rapid Response Business and Team worldwide from scratch for mission critical deployment in Cloud. I have provided architecture guidance to 1000+ Windows Azure partners worldwide and foundation member of Windows Azure HDInsight since its incubation at Microsoft.

Experience in nutshell but not limited to:

Large scale cloud solution Engineering using Windows Azure Core, Azure Storage, CDN, Caching, ACS, Azure Service Bus, Traffic Manager, SQL Azure

Cloud application design and development using .Net along with open source technologies i.e. Tomcat, PHP, Perl, Python, Ruby, Node.js

Besides Microsoft Windows Azure, knowledgeable in other cloud service oering i.e. AWS, Rackspace, Google AppEngine, RedHat, DotCloud, HP*

Apache Hadoop Cluster Deployment and Management on Linux and Windows Working knowledge of Map/Reduce, Interactive JavaScript, Pig and Mahout

Embedded hardware Design and Development using Windows CE, GNU Tool Chain, C & Assembly on ARM & MIPS processor

Problems investigation through troubleshooting and debugging from application to kernel level

Creating and facilitating technical trainings to large audiences, writing detailed documentation, technical white papers and technical samples

Very active Cloud and Big Data community member participating on various forums, conferences, newsgroups, and local events

Creating & maintaining business relatationship with worldwide partners

  • Work
    • Big Data Perspective
  • Education
    • Masters in Computer Science