Tell us about your work experience: tasks, technology stack.

In my experience as a Data Engineer, I have been involved in processing and transforming large volumes of data for analytics and reporting. The main tasks included:

• Developing and maintaining ETL processes
• Optimizing data loading from various sources
• Automating data pipelines

The technology stack I worked with:

• Python for scripting and data processing
• Apache Airflow for task orchestration
• Databases: PostgreSQL, ClickHouse
• Cloud services for data storage and processing

For example, I implemented a pipeline that daily fetched data from an API, cleaned it, and loaded it into an analytical database for further use by the analytics team.