Sandeep R Kamath Email and Phone Number

1) Was involved in implementing hive models for a client who was a leading pharmaceutical company in US. 2) Was involved in development of Azure data lake project for a leading coffee chain corporation. Their data was to be brought into Azure data lake.a) Developed data lake management tool for Azure data lake. The data will be either purged or archived into the blob storage based on the retention policy of the data. The tool was executed using the airflow via DAG.b) Developed python scripts for starting the HDI cluster in Microsoft Azure from backend. The HDI cluster was required the validations based on Drools using spark and Scala which was ran in HDI cluster. Once the validations were executed, the script terminate the HDI cluster. These scripts were also executed using the Airflow scheduler.3) Was involved in R&D of Redis frame work for integrating into a Realtime data framework tool developed by Infosys. 4) Developed a model pipeline for sentiment analysis of twitter data. The pipeline was build using spark(pyspark) and kafka framework.a) The producer part will read the data from twitter for a specific handle. The format is json. The required fields will be filtered and published to kafka topic.b) The consumer part will read data from kafka streams to spark streaming framework and convert data frame. c) The sentiment analysis is done on the tweet text of the twitter data. The sentiment analyzed data is normalized further and stored in a Cassandra Db.d) The twitter sentiment analysis, along with other matrix such as tweet count per minute, etc. can be viewed using a visualization tool such as Kibana/Grafana. 5) Worked for Azure Stack for near real time data analysisa) Invloved in developing pipeline to consume data streams from kafka and process it in spark framework.b) Combined it with different Azure stack such as Azure Cosmos db, Azure SQL DW & Azure Analysis Services to visualize the data in Power BI.

Production Support Engineer in Oracle Apps E-Business Suite for Procurement Module.