I'm a QA Automation Engineer with experience building scalable automation frameworks for web applications and APIs.
I'm currently applying the same engineering mindset to Data Quality Engineering, focusing on ETL validation, automated data testing and reliable data pipelines.
My goal is to bridge Software Quality and Data Engineering by building reliable systems and trustworthy data platforms.
- Building Data Quality solutions with Python & SQL
- ETL Validation
- Test Automation Architecture
- CI/CD Pipelines
- Great Expectations
- Apache Airflow
- dbt
- AWS Cloud Services
β Quality is built, not inspected.
β Automate repetitive work.
β Reliable software starts with reliable tests.
β Trusted decisions depend on trusted data.
β Keep solutions simple and maintainable.
β Learn continuously.
Languages
Python β’ SQL β’ Java β’ TypeScript
Test Automation
Playwright β’ Selenium β’ Cypress β’ Robot Framework
Data Quality
Great Expectations β’ PostgreSQL β’ Apache Airflow β’ dbt
DevOps & Cloud
Docker β’ GitHub Actions β’ AWS
Currently working on projects involving:
- Data Quality Framework using Great Expectations
- ETL Validation with Python and SQL
- Playwright Automation Framework
- Apache Airflow Pipelines
- dbt Data Transformation
- GitHub Actions for CI/CD
β¬οΈ Check out the pinned repositories below to see these projects in action.
