Sapana Sansare
About Sapana Sansare
Sapana Sansare is a Data Warehouse QA Engineer at CCC Information Services in Chicago, Illinois, where she has worked since 2016. She has extensive experience in backend testing and SQL development, having previously held positions at Hexaware Technologies and Tech Mahindra in India.
Work at CCC Information Services
Sapana Sansare has been employed at CCC Information Services as a Data Warehouse QA Engineer since 2016. In this role, she has contributed to the quality assurance processes related to data warehousing. Based in Chicago, Illinois, she has accumulated over eight years of experience in this position, focusing on ensuring the integrity and accuracy of data within the company's systems.
Previous Experience in Quality Assurance
Prior to her current role, Sapana Sansare worked at Hexaware Technologies as a Senior QA Analyst from 2004 to 2010. She then transitioned to Tech Mahindra, where she served as a PeopleSoft QA Lead from 2010 to 2012. Additionally, she freelanced as a QA at a Crowdsourced Testing Company from 2015 to 2016. Her diverse experience in quality assurance spans multiple organizations and roles, enhancing her expertise in the field.
Education and Expertise
Sapana Sansare holds a Bachelor of Engineering (BE) degree in Electrical, Electronic and Communications Engineering Technology from the University of Mumbai, which she completed from 2000 to 2004. She also studied Electrical and Electronics Engineering at Ramrao Adik Institute of Technology, where she earned another Bachelor of Engineering (B.E.). Her educational background provides a strong foundation for her technical skills in data warehousing and quality assurance.
Technical Skills and Responsibilities
In her role as a Data Warehouse QA Engineer, Sapana Sansare has developed extensive skills in SQL scripting and backend testing of databases. She has tested complex ETL mappings and reusable transformations for various data load frequencies, including hourly, daily, weekly, and monthly. Her responsibilities also include creating test cases for ETL mappings, scheduling and monitoring batch processes using Pentaho, and verifying data flow through different ETL blocks.