Dear Hiring Manager,
I hope this email finds you well.
I am writing to apply for the ETL Tester / Data Warehouse Testing position. I have over 5 years of experience in ETL testing, data validation, and data warehouse t…
Dear Hiring Manager,
I hope this email finds you well.
I am writing to apply for the ETL Tester / Data Warehouse Testing position. I have over 5 years of experience in ETL testing, data validation, and data warehouse testing across Banking and Health Insurance domains.
My technical expertise includes SQL, Snowflake, Informatica, Talend, Power BI testing, Python (Pandas), and defect tracking using JIRA. I have strong experience in validating data across source, staging, and target systems and working in Agile environments to deliver high-quality data solutions.
Please find my resume attached for your review. I would welcome the opportunity to discuss how my skills and experience can add value to your team.
Thank you for your time and consideration.
Best regards,
Subha P
ETL Tester
📞 +91 9790171301
✉️ [[email protected]](mailto:[email protected])
Analyzed business and technical requirements to design ETL test strategies for enterprise data warehouse projects.
Developed and executed ETL test cases using source-to-target mapping documents to validate complex data transformations.
Validated data across Snowflake, SQL Server, and AWS S3 using advanced SQL queries, ensuring 99.9% data accuracy.
Performed end-to-end data reconciliation, row count validation, and data quality checks across source, staging, and target layers.
Automated data validation for heterogeneous databases using Python Pandas functions such as read_sql, merge, and read_csv.
Validated Power BI dashboards including RLS, drill-down, drill-through, filters, and bookmarks to ensure reporting accuracy.
Identified, logged, and tracked defects using JIRA and collaborated closely with developers for timely resolution.
Actively participated in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
Clients: Heritage Capital Management (Singapore) – Banking Domain
Clients: Onemedifund (Australia) – Health Insurance Domain
Analyzed business and technical requirements to design ETL test strategies for enterprise data warehouse projects. Developed and executed ETL test cases using source-to-target mapping documents to validate complex data transformations. Validated data across Snowflake, SQL Server, and AWS S3 using advanced SQL queries, ensuring 99.9% data accuracy. Performed end-to-end data reconciliation, row count validation, and data quality checks across source, staging, and target layers. Automated data validation for heterogeneous databases using Python Pandas functions such as read_sql, merge, and read_csv. Validated Power BI dashboards including RLS, drill-down, drill-through, filters, and bookmarks to ensure reporting accuracy. Identified, logged, and tracked defects using JIRA and collaborated closely with developers for timely resolution. Actively participated in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
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