This project deals with clubbing many applications for their recommendation and performs analytics as per market needs and current demand for the E-commerce domain. Technologies Used -CDH5, Java, HDFS, MongoDB3.2, PIG0.13.0, Mapreduce, Mesos1.0.1, ApacheNutch1.10, Sqoop, Zookeeper3.4.6, Spark1.3.0, Scala2.10, Kafka-2.10.0.9.0.1, spring, hibernate, mysql5.6

Problems concerning increased shipment re-deliveries and customers refusing the shipments due to additional charges had become concern for DHL. The redelivery of shipments not only added costs but also consumed extra storage space in facilities for the un-delivered goods. Work was conducted with objective to, Predict chances of customers refusing ‘to be’ delivered shipments Reduce the number of multiple last mile journeys Provide insights into different paradigms of failed shipment deliveryTechnologies used -MapR2.0, SQOOP1.4.6,HIVE0.13.0,RHadoop, RMR2,RHDFS,ApacheSolr3.6,Flume1.5.0,Jdk1.6 .

CDID is identified as one of the source for this Clinical Integration Acceleration Project. Data will be extracted from XML Files for this source and will be maintained in Non-relational File Hub Layer after enhancements and enrichments. CDID is UHC’s capability for in-taking HL7 transactions. CDID consumes HL7 from OCIE and transforms them in the HL7 CCD v3 formatImplementation details: Creating two workflows to handle Historical rejects. CDID_HistoricalLoad 2. CDID_ProcessHistoricalRejects. CDID_HistoricalLoad: This workflow will have a single step that will invoke a java class.HistoricalLoad: It will get all the rejected csv files(message id, reason..) from reject location and merge all the rejected message ids into one file. Creates a HBase table on top of the consolidated rejected message ids. CDID_HistoricalLoad workflow: this workflow has 3 steps. 1. GetFilesFrom Archive: 2. FilteringRejects: 3. MoveFilesTo LandingZoneDir:  Once xml,xsd and control file are moved into the Landing zone directory new incremental intake workflow will be triggered.Technologies used -MapR2.0,jdk1.6,,ApacheCassandra2.0,PIG0.12.0,Mapreduce, AVRO, HDFS, Zookeeper, Sqoop, spring, hibernate, MySQL, Impala

This project involved support to onsite implementation team for various modules.Technologies used -Java, JBoss 4.0, Bank Fusion Platform

 I used to train their fresher employee at the company premises  I used to support the development team for the any programming issue in java  i used to write PLSQL code in the development team  I used to visit client location from company side as trainer for providing corporate training  I used to take some set of workshop on technologies like java collection ,plsql to the engineering college in Bangalore  I was guest trainer for SSI, NIIT, Manual Academy, Engineering colleges from my company. Technologies used -C, C++, Core Java, j2ee, struts, Oracle 9i/10g, Android, Python