QA Automation Engineer with 5+ years in Cloud Data Warehousing & ETL Testing
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ETL Tester with 5+ years of experience in cloud-based data warehousing and end-to-end ETL testing across Microsoft Azure platforms. Experienced in validating data pipelines built using Azure Data Factory, Azure Databricks (PySpark, Spark SQL), Azure Data Lake, Synapse Analytics, and SSIS. Strong expertise in analyzing source-to-target mappings, designing ETL test scenarios, performing SQL-based data validation, and ensuring accurate data transformations including joins, aggregations, filters, and incremental loads. Experienced in defect tracking using JIRA, test management using Zephyr Scale, and version control using GitHub. Skilled in validating structured and semi-structured data formats such as CSV, JSON, Parquet, SQL tables and testing OLTP/OLAP systems, data warehouses, and Power BI reports.
Sri Venkateswara University
Bachelor's Degree
N/A – June 30, 2018
Object Win Technology
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India
Brillio Technology
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I-globus Corporate Consulting
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March 1, 2022 – March 1, 2023
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Saiga Solutions
Software Engineer
January 1, 2019 – February 1, 2022
India
Ensemble Health Partners
May 11, 2026 – Present
Built a healthcare data warehouse for claims and billing data. Data was extracted from OLTP databases, transformed using SSIS packages, and loaded into a centralized data warehouse for analytics and reporting. Analyzed Source-to-Target mappings and business rules to design ETL test cases. Performed end-to-end ETL testing and SQL based data validation. Validated transformations including joins, aggregations, lookups, SCD, and surrogate keys. Tested fact and dimension table loads in data warehouse systems. Verified stored procedures, views, and ETL workflows. Logged defects in JIRA and performed regression testing.
Global E-commerce Retailer
May 11, 2026 – Present
Designed SQL, ETL, and BI testing scenarios based on reporting requirements. Performed data reconciliation between Oracle and SQL Server during migration. Validated stored procedures, views, triggers, and complex SQL transformations. Verified database objects for schema accuracy and data integrity. Tested SSRS (RDL) reports for accuracy, parameters, and performance.
Blue Rock Assurance
May 11, 2026 – Present
Designed ETL test cases by analyzing data models and transformation logic. Performed source-to-target data validation and reconciliation using SQL. Validated transformations including joins, filters, aggregations, CDC, and incremental loads. Tested fact and dimension tables including SCD and surrogate key validation. Verified stored procedures, views, triggers, and database objects. Conducted data completeness and integrity checks and tracked defects.
McDonald's
May 11, 2026 – Present
Analyzed business requirements and transformation logic to design ETL test scenarios. Performed end-to-end ETL and streaming data validation across multiple layers. Validated real-time data ingestion and transformation logic. Verified joins, filters, aggregations, and window functions. Conducted schema, data type, and partition validation. Validated structured and semi-structured data formats. Verified file conversions from CSV to Parquet.
Cultural Fit Analysis
Insufficient data. The psychometric test score is 0, making it impossible to assess cultural fit.
Soft Skills & Operational Fit
Insufficient data. The psychometric test score is 0, providing no basis for evaluating logical reasoning, work attitude, stress handling, or team collaboration.