QA Engineer with 3+ years in ETL, Data, and Performance Testing
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Assessing your cultural and operational fit
Detail-oriented Software Test Engineer with 3+ years of experience in ETL Testing, Database Testing, and Manual QA within data-intensive and reporting-centric platforms. Strong expertise in SQL-based data validation, API testing using Postman, performance testing with JMeter, and BI report validation (Power BI). Proven ability to ensure data accuracy, regulatory compliance, and KPI integrity across Healthcare Insurance and Investment Banking domains.
Babasaheb Naik College of Engineering, Pusad
B.E.
August 1, 2018 – June 30, 2022
NTT DATA
Software Test Engineer
September 1, 2022 – Present
Pune, Maharashtra, India
Regional Blues Health Insurer – IT Ops & BI Quality Uplift
September 1, 2022 – Present
Validated data accuracy across operational systems, ETL pipelines, and BI dashboards. Developed SQL scripts using joins and window functions to reconcile source vs DWH data. Verified SCD handling and historical data integrity. Validated KPI calculations, aggregates, and dashboard metrics. Performed Smoke, Sanity, and Regression testing for each sprint release. Executed API contract and schema validation using Postman. Baseline-checked performance metrics using JMeter. Produced detailed test evidence and defect reports for audit readiness.
People Analytics Foundation (HR on SAP) – Carnegie Investment Bank
September 1, 2022 – Present
Validated SAP SuccessFactors HR data integrations into analytics platforms. Performed SQL-based data quality checks for completeness, accuracy, and conformity. Verified dimensional data, surrogate keys, and KPI logic. Cross-validated BI dashboards for headcount, attrition, and workforce metrics. Conducted system, integration, and regression testing for each release. Logged and tracked defects in Jira and supported RCA closure. Supported UAT and audit activities with reproducible SQL evidence.
Cultural Fit Analysis
The candidate's project experience in both healthcare insurance and investment banking, along with exposure to various tech stacks (SQL Server, SAP SuccessFactors, Power BI), suggests a broad technical aptitude and willingness to work in diverse environments. The emphasis on data quality and audit readiness aligns with a culture that values precision and compliance. However, the resume does not provide explicit details on collaboration styles or proactive problem-solving beyond defect logging, which could be further explored.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail through detailed defect reporting and test evidence generation. Their experience in Agile and Waterfall methodologies suggests adaptability to different project management styles. The focus on data accuracy and regulatory compliance indicates a methodical and responsible approach to quality assurance.