Position: Data Engineer
Category: Data Engineer
English level: intermediate
Years of experience: 2


Analytic and monitoring system of production lines:
• Applied Python frameworks (Pandas, NumPy, SQLalchemy) for Data manipulating
• Optimized the generation of weekly reports using SQL and Python, reducing time costs by 80%
• Created a concept of data visualization with Tableau which included critical KPIs and production metrics
• Implemented Airflow for scheduling data pipelines

Pet-project
Developed system realized with aiogram and Airflow that send daily messages to the user with information about new opened jobs, and weekly reports about the market dynamic based on user’s needs. System collects data about open jobs using API, extracts information from collected JSON files, transforms data to Data Frame and loads to PostgreSQL Database, then extracts new job positions and sends it to users.