Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 3

I established deployment process in Azure DevOps and taught team how to use it. 
I mentored junior and trainee teammates. I performed technical and code review of their tasks.
I found point of improvement in code structure and started refactoring process.
I configured Row-Level-Security for reports. I written complex DAX expressions and created data model using Power Query. I used Native Query to connect to databases and written complex SQL queries.
Tech Stack: SQL Server, Power BI, Python, Spark, Airflow, Git, dbt

Project 2: 
I created analytics for big Ukrainian IT comany. I wrote complex stored procedures to transform data (SQL Server). I created reports (Power BI), enhanced performance of existing reports. I established deployment process using Azure DevOps service and helped team with understanding git. I found points of improvement in code structure and began refactoring process.

Project 1: 
I worked on creating Self-Service BI solution. I communicated directly with customer. I created reports using several data sources. I offered my own designs and solutions to best answer business questions by reports.
Strong BI Engineer switching to Data Engineering. Currently I am studying Python, Spark and AWS to enhance my tech stack. Therefore I would prefer projects where I can practice and develop these skills.