Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 9

Latest: personally implemented Airflow + Azure Kubernetes(docker+helm) + Github Actions as a standard for basic data engineering
Developed databases from scratch based on different data models
Performance optimization and tuning
ETL/ELT in db, based on Python services or using tools like Airflow, Data factory and dbt
Deployment via Github Actions + Terraform
Kubernetes - maintaining Airflow instances
Some team lead/manager activities in last 4 years - talking to different departments, discussing solutions, providing new tools and platform for data engineering and analytics. Team of 4 + 1 data engineers.
I would like to step back from devops activities and focus more on development and management