NAVYA SREE A V
Email ID: ****************@*****.*** Phone no: 628*******
PROFESSIONAL SUMMARY
Detail-oriented ETL & Data Quality Test Engineer with 4+ years of experience in Data Warehouse Testing, ETL/ELT Validation, SQL Testing, and Data Quality Assurance. Skilled in source-to-target validation, data reconciliation, API testing, and transformation validation across large-scale data platforms. Experienced in Python-based validation activities, regression testing, CI/CD support, and collaborating with Data Engineers to ensure high- quality data delivery. Strong analytical, problem-solving, and defect management skills. TECHNICAL SKILLS AND STRENGTHS:
Data Testing: ETL/ELT Testing, Data Warehouse Testing, Data Quality Testing, Source-to- Target Validation, Data Reconciliation
Databases: SQL, Snowflake, Teradata, BigQuery
Automation: Python, Automated Data Validation, CI/CD Testing Support API Testing: REST API Testing, API Validation, Schema & Contract Validation Tools: Jira, Postman, Zephyr, Control-M, Azure DevOps Core Skills: Test Case Design, Defect Management, Root Cause Analysis, Agile Methodology, Stakeholder Communication, Problem Solving PROFESSIONAL EXPERIENCE
AMDOCS Software Test Engineer Jul 2023 – Present
• Designed and executed ETL test cases to validate data extraction, transformation, and loading processes.
• Performed SQL-based validation, reconciliation, and backend data testing across source and target systems.
• Validated source-to-target mappings, transformation logic, record counts, and business rules.
• Executed API validation and verified request, response, schema, and data consistency.
• Supported Python-based automated validation activities and regression testing cycles.
• Participated in CI/CD testing and validated deployment changes across environments.
• Investigated data discrepancies and performed root cause analysis for reported issues.
• Collaborated with Data Engineers and QA teams to resolve defects and improve data quality.
• Managed defects through Jira and supported release validation activities.
• Prepared test evidence, execution reports, and defect documentation. AMDOCS DWH/BI Test Engineer Oct 2021 – Jul 2023
• Designed and executed ETL and Data Warehouse test scenarios for enterprise reporting systems.
• Performed SQL validation, data reconciliation, and source-to-target testing using Snowflake and Teradata.
• Validated facts, dimensions, business rules, and data transformation logic.
• Executed functional, integration, regression, and end-to-end testing activities.
• Supported cloud migration testing and post-deployment validation activities.
• Worked closely with Data Engineers to investigate and resolve data quality issues.
• Managed defect lifecycle and ensured testing coverage across releases.
• Supported UAT cycles and production rollout validations. PROJECT EXPERIENCE
AT&T Data Warehouse Project
Client: AT&T Domain: Telecom
• Validated customer and product data used for business reporting and analytics.
• Reviewed source-to-target mapping documents and business requirements.
• Performed ETL testing, transformation validation, and data reconciliation testing.
• Executed SQL queries to verify record counts, data completeness, and business rules.
• Validated fact and dimension tables within the data warehouse.
• Supported UAT, release testing, production validation, and post-release activities.
• Investigated data issues, logged defects, and coordinated resolution with development teams.
• Assisted in monitoring daily data loads and reporting accuracy. Environment: Snowflake, Teradata, BigQuery, SQL, Jira, Zephyr, Postman, Control-M EDUCATION & QUALIFICATIONS
• B.Tech - Ravindra College of Engineering for Women
• DECE Brindavan Institute of Technology & Sciences CERTIFICATIONS
HackerRank SQL Silver Badge, AQE Skill Olympics – 2nd Place, Manual Testing, SQL Certification, Prompt Engineering & Generative AI