Having a year of experience in the Data Engineering and expertise in Big Data and Distributed Computing, Data mining, Apache Hadoop, Apache Spark, MongoDB, other NoSQL deployments and feature engineering, I have worked in setting up of production clusters for data analysis and high availability. I have carried out an in-depth performance valuation of voting & non-voting servers in MongoDB with arbiters and it's disaster management abilities.

➤ Performed Text Mining - Transformation, Cleansing & Term-document matrix extraction
➤ Worked on Data Analysis projects - Collected data from various sources, performed ETL operations, analyzed data using various models & Interpreted results
➤ Implemented a MongoDB cluster - configured & initialized shards and config servers, configured Query Router, defined Sharding Strategy & performed Performance Testing
➤ Performed Intuitive Data Preparation using Rapidminer - created pivot tables & used Statistical overviews to explore and Visualize Data
➤ Participated in Tableau Developers meet - discussed on ways to evaluate Product Demand variability, evaluate location and spend within the supply chain & managing inventory to reduce order-to-ship cycle.
➤ Participated in Mongo DB Developers meet - manage, maintain, and troubleshoot the company databases housed in MongoDB, create scripts to automate routine tasks and establish backup protocols to ensure the reliability and safety of data sets & translate the requests and shepherd through the large volume of data queries.