Punitha Pokala
@punithapokala
Expert-level QA Engineer specializing in data pipelines and ML systems.
What I'm looking for
I am an expert-level QA Engineer with over 5 years of experience specializing in automated testing of big data, machine learning systems, and ETL pipelines. My expertise lies in building robust test frameworks from scratch using Python, Pytest, and Java with TestNG. I have a proven track record of designing end-to-end validation for machine learning workflows, data ingestion pipelines, and API layers, ensuring data quality and pipeline resilience.
Throughout my career, I have worked extensively with cloud and hybrid ecosystems, validating model accuracy and performance in both real-time and batch processing environments. I am recognized as a go-to expert for testing platforms built on AWS, GCP, Databricks, Airflow, Kafka, and Spark. My core strengths include test automation for data pipelines, ML model testing, and CI/CD integration for test automation pipelines, all while collaborating effectively in Agile/Scrum and DataOps teams.
Experience
Work history, roles, and key accomplishments
ML/Data QA Engineer
UnitedHealth Group
Feb 2024 - Present (1 year 5 months)
Built Pytest-based data quality automation framework for validating ML data pipelines in Databricks and Airflow. Designed test harnesses to validate TensorFlow-based prediction models against golden datasets and live batch outputs.
ETL QA Automation Engineer
TIAA
May 2022 - Jan 2024 (1 year 8 months)
Led QA strategy for AWS-based data warehouse migration validating ETL jobs built in Glue and Redshift. Wrote complex SQL and Python-based validation scripts for data consistency and KPI aggregation logic.
QA Automation Engineer
Cognizant Technology Solutions
Apr 2021 - Apr 2022 (1 year)
Created data validation frameworks for Hadoop and Hive-based pipelines supporting financial risk analytics. Built reusable libraries in Java + TestNG for automating ETL validation and negative test scenarios.
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