Detail-oriented Software Test Engineer specializing in ETL and database testing. Skilled in troubleshooting ETL failures and collaborating with developers using SQL and Agile methodologies. Improved data quality and ensured accurate transformations, leading to significant reductions in data errors.
Having 3.8 years of experience in Software Testing Which includes ETL/DWH Testing, Manual Testing & Cloud Testing
Good knowledge on Data Warehouse concepts.
Experience in Oracle Database.
Hands-on experience in writing SQL Queries.
Extensively used Workflow manager & Workflow monitor using Informatica ETL tool.
Hands-on experience on Validating the Transformations.
Hands on experience on JIRA.
Having complete knowledge on Defect Life Cycle.
Knowledge in Running ADF Pipeline.
Understanding of Integration Testing between Services such as AWS S3 & Azure Data Factory.
Overview
5
5
years of professional experience
Work History
Software Test Engineer
DATAFORTUNE SOFTWARE SOLUTIONS
PUNE
03.2025 - 11.2026
Developed and executed test cases for ETL processes across multiple data sources.
Executed regression testing on ETL workflows to ensure error-free changes.
Performed end-to-end validations using SQL queries across different databases like Oracle, SQL Server and Snowflake.
Troubleshot ETL failures by reviewing logs and identifying root causes, improving system stability.
Coordinated with developers to identify and resolve data quality issues, enhancing pipeline reliability.
Analyzed data mappings to ensure accurate transformation from source to target systems.
Associate Consultant
CAPGEMINI TECHNOLOGY SERVICES INDIA LTD
HYDERABAD
03.2022 - 03.2025
Analyzed system requirements to create detailed test scenarios.
Developed test scenarios and cases based on mapping sheet and design documents to ensure comprehensive coverage.
Performed execution of test cases to ensure product meets quality standards.
Created SQL queries for test cases and logged defects identified during testing to facilitate issue resolution.
Documented and presented test results throughout various phases of testing life cycle to communicate quality insights.
Validating the processed data in target database and loading into AWS S3 cloud platform Running ADF pipeline jobs for data load.
Coordinate with developers and BA for all clarifications.
Education
Bachelor of Engineering -
DBIT
Bangalore
01-2019
Skills
ETL testing
Manual testing
Cloud Testing
Database Testing
DWH Testing
Cloud quality assurance
Informatica
AWS S3
SQL
Azure Data Factory
Snowflake Database
Agile methodologies
Projects
MetLife is among the largest global providers of insurance, annuities, and employee benefit programs, with 90 million customers in over 60 countries. The firm was founded on March 24, 1868. MetLife ranked No. 43 in the 2018 Fortune 500 list of the largest United States corporations by total revenue.
The project involves developing and maintaining a Data Warehouse (DWH) system. That integrates data from various heterogeneous sources such as customer databases, billing systems, and network usage systems. The ETL process extracts, transforms, and loads (ETL) data into the DWH, which is then used to generate analytical reports. These reports help the business analyze profits and losses, customer trends, and network performance on a yearly and quarterly basis. This data-driven insight helps Sprint make strategic decisions and improve service efficiency.