Akhila Gunji

DATA QUALITY ANALYST | ETL / BI TESTING

Talent

BengaluruMember since September 16, 2026

ETL/BI TestingSource-to-Target ValidationSITUATRegression TestingSQL ServerSnowflakeAzure DBOraclePythonPy-SparkPandasSQL AutomationCSV/Excel ReportingInformatica DesignerWorkflow ManagerDatabricksAzureAWS S3JIRAAgile

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ETL/BI TestingSource-to-Target ValidationSITUATRegression Testing

About

Data Quality Analyst with 2+ years of experience in ETL/BI Testing (Manual + Automation), data validation, and quality assurance. Hands-on experience with SQL Server, Snowflake, Azure DB, Informatica, Python, Py-Spark, Databricks, and AWS S3. Experienced in source-to-target validation, transformation rule validation, row count/null/duplicate checks, SQL automation, file-based ETL testing, SIT, UAT, regression testing, defect management, and Agile delivery.

Strong experience in healthcare domain projects and collaboration with developers, data engineers, business analysts, stakeholders, and clients.

Experience

Software Engineer - SYSGAIN IT - Bangalore, Karnataka, India

(2024-05 - 2026-08)

Developed and executed test cases, test scripts, and automation frameworks for ETL/BI processes to support end-to-end validation of data pipelines.
Performed source-to-target data validation and transformation rule checks using SQL across enterprise datasets
Developed Python/Py-Spark automation scripts for data quality validation, including row counts, null checks, duplicate checks, and reconciliation.
Automated CSV/Excel reporting of data mismatches and validation results for QA sign-off and audit trails.
Automated SQL query execution using Python connectors for Oracle, SQL Server, and Snowflake to validate transformations dynamically
Worked with Informatica Designer and Workflow Manager for ETL workflow validation and testing.
Performed file-based ETL testing for CSV, JSON, XML, and Parquet data using Python/Pandas and Py-Spark.
Worked on SQL/Databricks scripts to load and validate data in Azure tables and support validation of large-scale datasets.
Tracked and reported defects using JIRA and participated in defect triage with development and data engineering teams.
Prepared test plans, test scenarios, test cases, execution results, QA reports, and defect summaries.
Participated in Agile ceremonies including Sprint Planning, Refinement, Reviews, and Retrospectives and supported requirement clarifications with stakeholders.
Performed SIT, UAT validation, regression testing, and production support activities using automation scripts.