Position: Data Engineer / Python Developer
Category: Data Engineer
English level: upper
Years of experience: 2.5

Master's Degree in Computer Science. A Data Engineer with experience managing digital media assets and data. Tools that I'm using the most: Python, Airflow, Azure, Snowflake, dbt, Postgres, MS SQL Server, Kubernetes, and Docker.
Product company (gambling field), Data Engineer
Oct 2022 - Present
1. Develop ELT pipelines for data source integration (Python, Airflow, Azure, dbt, Snowflake, Postgres, MS SQL Server, RabbitMQ, Kubernetes, Docker).
2. Develop data integration Python libraries (Python, Azure REST API, Power BI REST API).
3. DevOps responsibility: maintain and support K8S clusters, deploy microservices, setup and maintain CI/CD pipelines (Docker, Kubernetes, AKS, kubectl, helm, Lens, Gitlab, Azure)

One of the biggest outsourcing companies, Software Engineer
Feb 2022 - Sept 2022
Customer - the big UK company.
The goal of the project is to transfer data from external CMSs to the customer's own custom CMS. That requires writing rules using query transformation language and configuring pipelines for the data migration.
Participation:
1. Participated in the data migration cycle.
2. Developed JSONata transformation and mapping scripts for automating the pipeline.
3. Developed XSLT transformation and mapping scripts.
4. Performed testing phase for each of the process steps.
Database: MongoDB
Tools: jsonata, docker, mongoserver, GitLab, google services, Slack, Jira, Confluence
Technologies: YAML, JSON, git, go

One of the biggest outsourcing companies, Data Quality Engineer
Apr 2021 – Jan 2022
Customer - One of the biggest property and casualty insurers in the United States.
The goal of the project is to migrate the Customer’s DB2 databases to the Customer’s instance of AWS.
Technologies: Java, AWS, DB2, Spring boot, PostgreSQL, Bamboo.
Participation:
1.  QA/QC support of cloud migration activities
2.  Testing of databases objects: keys, sequences, triggers, tables, stored procedures, and user-defined functions
3.  Tests results analysis
4.  Regression testing
5.  Bug hunting and reporting
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