Position: Data analyst
Category: Data Engineer
English level: upper
Years of experience: 7

Achievements:
• Created and merged 140 pull requests in dbt repo. 
 1. Added 9 280 lines of code in the dbt repo
 2. Removed 9 751 lines of code in the dbt repo
• Adopted dbt snowplow project for datarobot internal needs
• Created feature name mapping for all app.datarobot features and frontend events
• Decreased number of errors in Tableau (reports,datasource refresh fails) from 130 to 5 in average per day
• Migration from BI host jobs scheduling to Rundeck
• Described 95% of metrics used in QlikView applications (30+ apps)
• Initiated the "definition of done" to close the task
• Implemented the test cases
• Built a daily report system for 4 departments and 2 projects
• Developed 15+ dashboards for ad-hoc tasks in Metabase using complex PostgreSQL queries
• Constructed a model of daily plans and forecasts for 10+ metrics
- Modeling data in a way that empowers end users to answer their own questions
- Documenting and testing data models and applying best practices around data modeling in the dbt (data build tool)
- Providing clean, transformed data sets to end-users.
- Ad-Hoc requests related to product, customers and interaction events data.
- Building retention, funnels, power users charts.
- Maintaining our data warehouse with timely and quality data
- Creating data models to help analysts provide insights for the business users
- Improving data pipelines in dbt. Consulting client with the DBT related questions/issues.
- Optimizing SQL queries in Snowflake
- Managing data pipelines in AWS (AWS Lambda, Dynamo DB)