Position: Data Analyst/Data Engineer
Category: Data Analyst
English level: intermediate
Years of experience: 5

Built a financial reporting system, where I had to combine multiple data sources using API and write the basic logic of calculation, specify the reliability requirements and implement quality control levers. And I'm still working on the code to make this system even better

Implemented integration with Amazon Kinesis to pull, process, and store in a database for further analysis of this data. The main challenge for me was to implement fast data reading and processing (because there is a lot of data and Kinesis has its own specifics of writing data to stream), so I had to implement parallel processing
-Monitoring of key product indicators, and quickly respond to deviations
-Creating a financial reporting system
-Data visualisation in Redash
-Creating an alerting and notification system
-Evaluation of AB tests
-Working with API (Google Analytics, Amazon S3, Google Ad Manager, Slack, etc.)
-Building streaming data pipelines with bunny CDN, Amazon Kinesis
-Writing project documentation
-Mentoring of other analysts in a team

I use Python and SQL mostly in my work. First of all I want to continue improve my Python skills, I also want to advance in the evaluation of AB tests (now I have a basic knowledge in this field). One day I would like to manage a team of analysts so that we can reach new heights and learn new technologies together.
I prefer not to work on boring reports, especially in Excel