Position: Data Scientist/Engineer
Category: Python
English level: fluent
Years of experience: 4

Have constructed the Data Pipeline system using ETL tools from the scratch. 
Set up the Data Lake & Warehouse with the visualization tool, Apache Kafka and Apache Airflow on Kubernetes. Have developed few Data Science projects and set up it on Kubernetes.
Data Engineer / Analyst who works with Big Data projects. The main programming tool is Python. Sometimes using Cython for process optimization. Main library for data transformation is Pandas. Using Sklearn, Tensorflow for Data Science projects (obviously).
Using Tableau, apache superset for data visualization. Kafka for streaming for Apache Airflow for tasks orchestration
Work more with data science and machine learning projects.
In addition to this, I want to continue exploring the world of Big Data Engineering. Preferred domain is Investments as I passed CFA Level 2 and has good knowledge of this domain