Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 5

- Successful migration of Looker Explores based on Snowflake DWH to GCP BigQuery
- Team growth from 2 to 6 engineers when leading
- Creation of data processing pipelines and DWH (based on GCP) for multiple customers' plants
- Creation of the PoC product for detecting credit fraudsters that started to bring the company revenue (data science project)
Have worked in both startup and enterprise environments both in local and distributed across the globe teams. My experience is focused mostly on Data Engineering and Clouds, I posses  knowledge and practice in Data Science projects as well though. From technological perspective right now I am working mostly with Python, SQL, dbt and various GCP services (certified) and devops stack (GitHub Actions, Terraform). Led teams on 2 projects.

Projects:

- Snowflake DWH migration. 
   Responsibilities:
   - Spinning up the GCP environment 
   - Consulting the customer's team
   - Migrating data processing from Snowflake to BigQuery, Composer, dbt, Python

- Clinical Data Lake assessment
    Responsibilities:
    - Assessment of the Data Lake implementation state (based on GCP services)
    - Preparation of the corrective actions report based on the assessment results (included data ingestion, working with sensitive data, orchestration)

- Application for mining engineers
   Responsibilities:
    - Leading the data engineering team
    - Elicitation of requirements
    - Data pipelines design and implementation (BigQuery, Dataflow, Composer, Storage)
    - Trainee/junior engineers mentorship

- BigQuery Omni Alpha evaluation
   Responsibilities:
   - Implementing PoC with BigQuery Omni private alpha service
   - Documenting results as an article on C2C global

Those are some of the projects that I was working on. We can go more in depth into my experience during the interview.