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

Fast learner - when joined the last project I knew very little about Microsoft Azure but managed in a short time to learn all the necessary things and develop solid solution.
I have almost 4 years of experience in the Data Engineering field. Solid knowledge in T-SQL and Python. I have worked with such clouds as Amazon AWS (Redshift, Glue, S3, EC2, IAM), Microsoft Azure (Data Factory, Data Lake, Synapse Analytics, Azure SQL, Purview), and Google Cloud Platform (Big Query). Familiar with Snowflake, MS SQL, PostgreSQL and MySQL databases. Created complex ETL pipelines (both batch and streaming) in Microsoft SSIS, Azure Data Factory and Matillion ETL tool, also with Python and PySpark using Databricks and Delta Live Tables. For orchestration, I used Airflow and Rundeck. Created dashboards both from scratch and templates in Power BI and Tableau. For CI/CD used Git and Azure DevOps. I have experience in modeling and creating DWH. Mentored a small group of data engineer trainees.
Opportunity to study new technologies and improve my tech skills, friendly team, flexible schedule