Position: Python Developer
Category: Python
English level: upper
Years of experience: 2

My biggest achievement on this position was driving a cross-team communication regarding the format of the data that we where transforming from parquet files. During this time I did several data comparisons, created a Confluence page with the results for each pipeline and scheduled meetings between 3 teams to discuss those result and our next steps.
My latest achievement was developing a user-friendly UI for data managing tool that has multiple layers of nested data.
I have two years of Python software development. During this time I worked on multiple projects, the first of which was a tool for testing regular expressions. It tested regexes on a data set with the use of Apache Airflow jobs with Kubernetes executor, and I was responsible for fixing bugs, upgrading the airflow version and adding additional validation on UI. The second project was a Kubernetes cluster with ETL pipelines, few of which transformed parquet files into txt files with different formats, and other pipelines loaded data from SQL into parquet files on S3 bucked and sent Kafka notifications about the updates. The third project was a UI for data managing tool that used gRPC protocol for communication.
I want to improve my hard skills with Data Engineering tools and methodologies. I would be glad to work on a project that allows me to improve my skills and learn new technologies.