Employee Case Study: Streamlining ETL Testing in a Health Insurance Data Warehouse

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Employee Name: Vaishnavi Patil
Role: ETL Tester
Company: ABC Technologies (Client: MTS Health Insurance)
Skills Used: SQL, Informatica IICS, Manual Testing, Jira, Agile


Problem / Challenge:

The MTS Health Insurance project had 20 modules and 20+ sub-modules dealing with sensitive policy and claim data. Frequent issues arose in data accuracy and delays in data validation during ETL workflows. It was difficult to detect mismatched records early in the cycle, causing delays in report generation and regulatory compliance.


Objective:

To improve the accuracy of data verification and reduce the manual effort in validating ETL job outputs.


Actions Taken:

  1. SQL Automation: Wrote reusable SQL queries to validate policyholder details, claim dates, and premium data across staging and final tables.

  2. Defect Tracking: Used Jira to log critical defects related to data mismatches, duplicate records, and null entries.

  3. Test Case Optimization: Created over 200 detailed test cases covering E2E flows — from claim submission to settlement.

  4. Collaboration: Worked closely with developers to analyze root causes of data integrity failures and retested post-fixes.

  5. Agile Process: Attended daily stand-ups, participated in sprint planning and retrospectives for continuous improvement.


Results:


Key Takeaways:

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