Position: Senior AQA Engineer | Python
Category: QA Automation
English level: upper
Years of experience: 7

Creating and configuring an automation module for BE with all following supporting modules inside from scratch, that gives the possibility to write autotests much better and faster.
Adept Software Tester, specializing in both monolithic and microservice architectures. Expertise in UI & BE testing utilizing tools such as pytest, supplemented with modules like SQLAlchemy, pydantic, faker, among others. Proficient in constructing tests for Gherkin language, employing Python & JavaScript.

Accomplishments in CI/CD include deploying tests in Jenkins and subsequently orchestrating Allure reports. Possess a knack for optimizing test-marking strategies and preparation, ensuring seamless execution across diverse environments.

Technical Skills:
Frequently leverage Python for a diverse range of assignments, from crafting Telegram bots to designing scripts for sophisticated billing systems. Skilled in formulating small backend services for events, optimizing database queries, and establishing new ones, all the while guaranteeing efficient indexing.

Advanced Analytics Experience:
Developed a profound understanding of Grafana, adept at harnessing its power for real-time analytics, interactive data visualization, and efficient data management.

Additional Endeavors:
An avid web developer, employing the ReactJS framework, Fastapi, and Pydantic on Python's backend for web projects outside of professional realm.

Significant Achievements:
At the current role, successfully architected an automation framework from the ground up. This system has expedited the testing process across various services, irrespective of their position within the architecture or the availability of a full suite of API methods, including instances when only AMQP protocol is available.
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