Position: Python Developer, Data Engineer, Data Scientist
Category: Python
English level: upper
Years of experience: 2

For my training projects, I did telegram bots, did implementation of microservice architecture using REST API. Helping out my younger brother with developing of his snake game for android devices
I have a varied professional background. I started my career as an Automation QA Engineer, where I focused on automating backend tests for business. I also contributed to the development of APIs for testing purposes. Currently, I work as a Data Engineer, worked in few projects was responsible for maintaining and improving Data Warehouse. This involves using technologies like Drools, Azure, SQL Server, Azure DevOps, and MongoDB. Also for training purposes and improving technical expertise tried out PySpark and Hadoop

I also have an interest in data science and like staying informed about the latest developments in the field. I find working with complex datasets to extract meaningful insights intriguing. 

Furthermore, I'm proficient in utilizing tools like pandas and NumPy for efficient data handling, along with Matplotlib and Seaborn for creating visualizations. These skills allow me to bring value to the projects I'm involved in.