Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2

- AWS Cloud Practitioner certified
- Azure Foundation AZ-900 certified
I am a data engineer with almost two years of commercial experience in data engineering. I have solid data engineering expertise in different domains. I worked on training and commercial projects during my career.

Training project - E-commerce domain
Technologies: Python, Python, Spark, Airflow, AWS (glue, lambda, emr, dynamoDb, Kinesis, Firehose)
Team: 1 lead engineer, one senior engineer, and one junior engineer.
Project responsibilities: Implementation of big data solutions to optimize the work of the high-load service for online banking. 
I have implemented scalable and high-performance pipelines for extracting, transforming and loading data.
Participated in each stage of project development and worked with all these technologies.

E-commerce domain
Technologies: AWS (S3, Glue, EMR, DynamoDB), Python, Spark, Airflow, Snowflake, DBT
Team: 5 Data Engineers, DQA Engineer, BI Engineer
Project responsibilities:
- Building Data Lake
- Migrate tables/columns from on-prem database into cloud
- Creating and orchestrating ETL pipelines
- Data testing
- Improving existed CI/CD pipelines
- Providing Snowflake ingestion