Working on multiple data analytics projects for an insurance domain, including developing and optimizing data transformation processes using PySpark, planning project timelines and requirements gathering, implementing new data architectures, creating dashboards in Kibana, and ensuring successful testing and production processes. They were also responsible for maintaining the accuracy of a critical daily business report dashboard and supporting the support team's activities. Technologies used included Pyspark, Elastic Search, Shell Scripting, Pentaho,Intellicus, M-cube, and Greenplum.

Data Lake, Data Analytical / Statistical tool (Insurances)As a developer in an insurance company, I worked on various data analytics projects, including the Data Marts project to replace legacy data sources, the Flexi Dashboards project to provide data cuts on dashboards for business booked in motor insurance, and the Daily Business Report Dashboard project to provide daily reports to company leaders. I used Pyspark, Elastic Search, Shell Scripting, Pentaho, M-cube, and Greenplum in my work and was responsible for project planning, communication with clients, development, testing, and optimization.

Software EngineerA software engineer with experience in SQL and batch processing is highly skilled in utilizing relevant technologies and has the ability to design and implement systems for efficient data processing. This individual has experience working with technologies like SQL Server and Oracle and has a proven track record of delivering projects that involve batch processing. They have experience working in Agile development environments and have the relevant education and certifications. They have the ability to bring value to a team through their skills and experience in SQL and batch processing.