Aggregations & Elasticsearch Developer Needed

I am an IITK graduate, 9 year experienced software professional and I have got top notch developers in my team, who have got experience across a span of technologies. The members in my team have worked with top notch tech organization such as Amazon, Cisco, Oracle etc. We have been involved in similar projects in the past and our track record has been excellent.

Hi Team, I would like to take an opportunity to work on this requirement. I have been working on various big data technology since 3 years such as ElasticSearch and its offsprings like kibana and logstash along with expertise in spark, hadoop etc. We also have an expertise in Linux system admin as well. I hope you are also looking for a kind of person who has expertise in above mentioned skills set hence I might fulfill your requirement with my expertise. Alao I have handled 15+ clients who has data size of 100TB+ as well. Kindly let me know a suitable time to discuss further on this front I am available on freelancer chat here or Skype me at prashanttct07 Looking for a good and healthy association with you in near future. Thanks  ~Prashant

I have experience in elastic search. I am experienced freelancer. you can visit my skill set and previous work experience. Thanks Amit

Hi there, Thanks for sharing this opportunity. Sounds interesting..!! I am a Elastic Search expert and I'm always up-to-date to latest technologies to deliver professional and high-quality products to the client. On my experience with Elastic Search: To provide you a better understanding of how this has been accomplished by me - I would like to run you through an example of one of my projects. This was the "Expert Witness Profiler" project where I have a lot of unstructured and unorganized data in the form of witness files with detailed description of the cases under and post trial. These files had a plethora of information and we had to somehow extract the pieces of information related to a certain kind of profiles and witnesses. I made use of the "River" concept to pull the data and Logstash to pipeline the data. Exploiting Kibana - I channelized the data in the form of blocks in ElasticSearch. Using this mechanism I could break the document information into relevant pieces that helped me to create small, fragmented, structure data items in ElasticSearch to find the names of the witnesses and profiles that were relevant for any custom search. As our backend for it was in MongoDB so we use mongoosastic (using ElasticSearch with MongoDB). We used Kibana for visualizing and analyzing the data query, and provide an interface to end user with all the info. Looking forward to further details to be shared by you. Kind regards, Sid