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


I am a data engineer with almost 2 years of commercial experience in data engineering. I have solid data engineering expertise in different domains such as rental, sport, health care, and e-commerce. During my career, I worked on 1 training project and 3 commercial projects (one of them was an R&D one).

Training project - rental domain
Technologies: Scala, Python, Spark (Batch and Streaming), Kafka, Kafka Streams, Cassandra, Docker, Airflow, ELK stack.
Team: 1 lead engineer, 1 senior engineer, and 5 junior engineers (including me).
Project responsibilities: Implementation of big data solutions to optimize the work of the international service for the rental of electric scooters.
	Implemented scalable and high-performance pipelines for data visualization and assistance to enterprises in management
	Participated in each stage of project development and worked with all these technologies

R&D project - sport domain
Technologies: Scala, Java, Kafka Streams, Apache Druid, Debezium, Metabase.
Team: 1 lead engineer, 1 senior engineer, 1 back-end engineer, 1 data scientist, and 2 data engineers.
Project responsibilities: Working with a Ukraine-based team of data engineers, data scientists, and back-end developers to implement machine learning solutions in the sports betting system.
	Developed ETL pipelines
	Maintained integration with data sources, orchestrating jobs, testing code, and visualizing data
	Worked in teams with data scientists

Health-care domain
Technologies: Scala, Spark, Kafka, HDFS, Hive, Cloudera
Team: a big international team of data engineers, DBA, and others
Project responsibilities: 
	Developed ETL pipelines for customer subprojects
	Built CI/CD pipeline
	Tested code and troubleshoot different components
	Orchestrated jobs

E-commerce domain
Technologies: AWS (S3, Glue, EMR, DynamoDB), Python, Spark, Airflow, Snowflake
Team: 5 Data Engineers, DQA Engineer, BI Engineer
Project responsibilities: 
	Building Data Lake
	Communication with stakeholders 
	Building and orchestrating ETL pipelines