Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 4

1. Created parameterized SQL scripts to collect analytics and business metrics, such as applied recommendations, calculating the impact of our decision on client revenue and sales. It was widely used by customer facing and customer success teams.

2. Created and supported automatic data pipeline tests, for Entry (raw client data) and our processed data. Significantly simplified and accelerated QA process.

3. Adapted dataset and whole pipeline for RNN (recurrent neural network).

5. Working with complex billing and invoicing systems for mobile operators.

6. Supported and improved handling of different types of events, such as different balances spendings, regular payments, late landings; aggregating them into daily and monthly aggregates, forming invoices based on the results of the month.

7. PostgreSQL & MongoDB databases profiling and
optimization.
Data Engineer with 1.5 years of experience in two projects, with Google Big Query, Oracle and Postgres.
To gain more experience in interesting projects with a good team; improve my existing skills and get new ones. Interested in trying myself in Product Analyst/Data Analyst positions as well.