DIPANKAR BAHIRVANI

-Analyzing operational data of wind turbines to enable an enhancement of economic viability -Conceptualization, setting up of multi-node Cassandra time-series cluster in on-premise data center -Developed standards and bulk migration of data (in TBs) into Cassandra cluster using Python libraries (npTDMS, Cassandra driver)

• Part of data engineering team, working on Big Data Platform (BDP) which runs on Hadoop and simultaneous co-ordinating with Data Science team, as a result, this enables the use of Machine Learning (ML) algorithms and other Business Intelligence (BI) tools for analysis purposes. • Acquire and integrate the necessary data from several local data sources in the Big Data Program necessary for analysis and for commercial actions

Developed performance scripts using Python and Apache JMeter to evaluate time series data performance of RIAK-TS, Oracle11g, Cassandra and Kisters Database system. Conceptualization and setting up of multi-node Hadoop, Hbase cluster on CentOS using Cloudera. Conceptualization and setting up of multi-node RIAK TS cluster Development of docker images for CLoudera Deployment Manager in order to ensure high availability.

Designing, Delivering on the Salesforce.com cloud platform for Lead to Cash business process Developed a Quote to Order System from scratch using behavior test driven development and agile methodology. Major features worked on are Quote Creation, Approvals, Product Versioning

Working with the core library team of SMARTS (System Management Arts).

In this thesis, l conceptualized and developed a big data pipeline to seamlessly integrate the data from the shop floor to holistic big data storage for analytics. Additionally, I proposed standards for metadata management and naming conventions across systems. Tech Stack Used - Kafka, MQTT, Hadoop, Spark, Influx DB, and Grafana