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