Sr. Java Developer
Current• Worked on Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack such as EC2, VPC, Glacier, Route53, S3, RDS, Cloud Watch, Cloud Trial, WAF, SNS and IAM, focusing on high availability, fault tolerance, Load balancing and auto-scaling in designing, Deploying and configuring.• Identified usability and develop functional and smooth, easy-to-operate and eye-catching web applications using EXT JS, Angular JS and react JS.• Used Kibana Dashboards for the Application Monitoring and to retrieve the Concise and Console Logs. • Building POD utilizing Informatica to S3, ETL via Apache Spark/Hive/EMR, orchestration via Data Pipeline/ Lambda, and landing to Redshift. • Using ELK (elastic, Logstash and Kibana) stack for monitoring, reporting, creating dashboards for demonstration status of Application and status of the cases assigned.• Used Scala collection framework to store and process the complex employer information. Based on the offers setup for each client, the requests were post-processed and given offers. • Worked on core AWS services such as Setting up new server (EC2) instances/services in AWS, configuring security groups, and setting up Elastic IP's, auto-scaling, and Cloud Formation.• Guiding the scrum teams and larger organization on how to get the most out of Agile/Scrum practices.• Built centralized logging to enable better debugging using Elastic Search Logstash and Kibana. • Identifying the problem areas by using elastic search Kibana with Logstash to import .csv les. Using Solr over Lucene index provided a full text search for analysis and quantification. • Involved in the re-design and development enhancement e orts of production data migration from Matrix to Redshift Cloud database.• Involved in Designing and deploying AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups.• Configured Spark streaming to receive real time data from Kafka and store the stream data to HDFS using Scala.