DevOps Engineer / Automation Engineer with 6+ years of experience working in cloud-based environments.
Background in test automation and platform tooling with strong experience in CI/CD, containerized systems, and automation using Python. Recently focused on DevOps practices including infrastructure automation, Kubernetes, and monitoring.
DevOps & Cloud
- AWS, Azure
- Docker, Kubernetes
- Terraform
- Linux, Shell scripting
CI/CD
- GitHub Actions
- Jenkins
- Automated build and deployment pipelines
Monitoring & Observability
- Prometheus
- Grafana
- Datadog
- Splunk
Programming / Automation
- Python
- JavaScript
- Bash
Data Platforms
- Apache Airflow
- Apache Spark
Automated testing and validation pipeline using GitHub Actions.
Technologies:
- GitHub Actions
- Docker
- Python
- pytest
Features:
- automatic pipeline trigger on pull request
- test execution and reporting
- containerized test environment
End-to-end automation framework for UI and API testing.
Technologies:
- Playwright
- Python
- pytest
Features:
- UI + API test coverage
- reusable test architecture
- CI integration
Automation framework for validating ETL workflows.
Technologies:
- Apache Airflow
- Apache Spark
- AWS S3
- Python
Features:
- validation of ETL pipelines
- automated dataset checks
- CI pipeline integration
- Kubernetes infrastructure
- Terraform infrastructure as code
- Monitoring with Prometheus & Grafana
- Cloud architecture