• Member of the ad platform team

• Worked with Ruby on Rails and GraphQL to develop features and enhance existing features

• The developed features are customer facing and directly enhances their experience

• Learned about Sorbet, GraphQL, Hexagonal architecture and enhanced my Ruby on Rails knowledge

• Member of the Distributed Compute & Analytics team

• Learned and worked with big data technologies such as Spark, Flume, Nifi, Hadoop, HBase, Phoenix.

• Learned Scala programming language and currently working directly on the Interset’s analytics code base

• Currently working toward helping to improve the Analytics performance

• Worked with an open source Spark benchmark app to measure and test the performance of the Spark I/O

• Member of the Data Integration and Platform's team

• Built a performance monitoring system for Interset’s distributed platform. Used Elasticsearch, Kibana, Logstash, Metricbeat, Heartbeat and Filebeat.

• Built data visualization graphs and dashboards for the system and network metrics collected in Elasticsearch

• Parsed the logs collected from the system and filtered them through Logstash and visualized them in Kibana.

• Automated the install of the Performance monitoring system by scripting the install and configuration steps

• Learned about Big Data technologies such as Kafka, Flume, Elasticsearch, HBase, and Hadoop