Position: Middle Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 1.5

•	AWS Certified Cloud Practitioner
•	Databricks Certified Data Engineer Associate
•	Microsoft Azure: Fundamentals
ISP/Media & Entertainment domain
Stack of technologies: Python, GCP (BigQuery, Storage), SQL, Jenkins, Apache Nifi, Terraform, Bitbucket, Jira
I created resources on the Google Cloud using Terraform, optimized queries, and configured the process of loading data from sources into a table.

E-commerce domain
Stack of technologies: Python, Spark, Spark Streaming, Spark SQL, SQL, GCP (BigQuery, Composer,Storage), Databricks, Airflow, Git, Jira.
My responsibilities included connecting new data sources to our system. Creating, documenting and testing pipelines. Refactoring code, investigating and debugging issues. Creating various queries (identify issues, resolve them, and create datasets for reports). I was also involved in the creation of jobs (by pyspark or SQL) to improve cleaning, data transformation or data loading. I was working with big international team.

Rental Domain
Stack of technologies: Scala, Spark, Kafka, Cassandra, ELK stack, Airflow, Docker, Azure, Git, Jira.
Created adaptable and efficient data visualization pipelines to aid businesses with management, and was involved in every phase of the project's development. Collaborating with a team consisting of 9 developers, 1 Scrum master, and 1 lead, I utilized a variety of technologies throughout the process.