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Senior Automation Engineer with 7+ years in UI, API, ETL, and Data Pipeline Testing
Data QA Engineer with a strong background in ETL testing, data validation, and backend data pipeline testing. Experienced in validating large-scale data workflows using SQL, Python, and ETL frameworks. Skilled in source-to-target validation, data reconciliation, anomaly detection, and ensuring data quality across complex distributed systems. Proficient in writing complex SQL queries for data reconciliation, aggregation validation, and business rule enforcement. Hands-on experience in ETL/ELT testing including source-to-target validation, schema validation, and data quality checks. Familiar with big data ecosystems including Spark, PySpark, and Databricks, with the ability to quickly adapt to large-scale data platforms and contribute to data quality automation frameworks.
Roosevelt University
Master of Science · Computer Science
August 1, 2023 – June 30, 2025
ANITS
Bachelor of Technology · Computer Science
N/A – Present
City of Milwaukee Health Department
Senior QA Automation Engineer / SDET
January 1, 2025 – Present
Milwaukee, Wisconsin, United States
Discount Tire
Senior QA Automation Engineer / SDET
January 1, 2024 – July 1, 2025
Phoenix, Arizona, United States
Blick Art Materials
QA Automation Engineer / SDET
October 1, 2020 – July 1, 2023
United States
Yukthi Marketing
QA Automation Engineer
March 1, 2019 – May 1, 2020
India
Cultural Fit Analysis
The candidate's diverse experience across different companies (City of Milwaukee Health Department, Discount Tire, Blick Art Materials, Yukthi Marketing) and roles, coupled with a broad range of technical skills, indicates adaptability and a willingness to learn new technologies. Their involvement in mentoring and driving automation strategies suggests a proactive and collaborative mindset, which aligns well with a culture that values continuous improvement and knowledge sharing. The focus on end-to-end quality and data integrity also points to a detail-oriented and responsible approach.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with developers, product owners, and architects. They have experience in Agile/Scrum environments, contributing to sprint planning and backlog grooming. Their leadership in automation design and mentoring indicates a proactive and team-oriented approach. The use of AI-assisted tools suggests adaptability and a drive for efficiency.