Jaya Kamlesh

Hadoop Architect @Trilogy

Created Hive queries that helped market analysts spot emerging trends by comparing fresh data with EDW reference tables and historical metrics. Enabled speedy reviews and first mover advantages by using Oozie to automate data loading into the Hadoop Distributed File System and PIG to pre-process the data. Provided design recommendations and thought leadership to sponsors/stakeholders that improved review processes and resolved technical problems. Managed and reviewed Hadoop log files. Tested raw data and executed performance scripts. Shared responsibility for administration of Hadoop, Hive and Pig. Used Pig to do transformations, event joins, filter traffic and some pre-aggregations before storing the data onto HDFS Involved in creating Hive table, loading with data, writing hive queries to test the test cases Involved in peer-peer review of the code and was also involved in giving sessions to team members. Experienced in Requirement gathering, Create Test Plan, Constructed and executed positive/negative test cases in-order to prompt and arrest all bugs within QA environment