Position: Python Developer
Category: Python
English level: upper
Years of experience: 1

I designed and developed ETL pipeline architecture 
which generates a dataset with financial data 
for the all US based companies\tickers for last 20 years
The input data for the dataset was taken from the official website: 
U.S. Securities and exchange commission, sec.gov
Interwaters Development LLC [Full-stack web/ data science engineer]
Basic responsibilities: Designed and developed ETL pipeline architecture, automation of updating database, financial data visualization by company
Project:
Breakout ML Analyzer– A web application for visualization, analysis of financial data of all US business companies. With further training of the ml model to generate stock price recommendations for a particular company. 
Technologies used: Pandas, Streamlit, Plotly, Asynchronous programming, json..

Preferred development direction:
I'm specialized in back-end development with a strong focus on Big Data.
Skilled in developing and maintaining large-scale data processing systems, as well as designing and implementing scalable and efficient architectures.
I don't like designing front-end elements because, for example, I can choose the color of a button or the font of a text for hours.
However, I feel great when I have to develop the logic of complex systems or optimize the work of existing ones.