Makhneet S Bhatia

Makhneet S. Bhatia's work experience begins in 2013 with UnoiaTech, where they worked as a Hadoop Developer. In this role, they were responsible for creating tables, partitioning data, and working with Hive and HBase to manage data from various sources.

In 2018, Makhneet joined AIG as a Hadoop/Spark Developer. They worked on an insurance project focused on pricing policy linking and profitability in the domain of commercial insurance. Their responsibilities included creating Spark scripts for data transformation and aggregation, as well as optimizing and tuning Spark jobs.

Also in 2018, Makhneet joined Hart, Inc. as a Software Engineer (Data Platform). They later became a Team Lead in this role. Their work involved using SparkSql and Scala to create Spark scripts and manipulate data according to client requirements. They also managed EHR/EMR data to ensure compatibility with client specifications. Additionally, they created user-defined functions (UDFs) using Scala or Java.

Overall, Makhneet S. Bhatia has a strong background in Hadoop and Spark development, with experience in data manipulation, scripting, and optimization.

Makhneet S. Bhatia pursued a Master's Degree in Computers & Information Science with a focus on Information Systems at Cleveland State University from 2016 to 2017. Additionally, Makhneet obtained a certification in Python for Data Science from IBM. The specific month and year of certification acquisition, however, are not available.