Position: Lead Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 7

Have successfully built IT solutions and infrastructures for 10+ companies, varying in size from 5 to 150 employees.
1. Performed data mining and data analysis for Oil&Gas industry.
Stack: python.

2. Built NLP processing algorithm from scratch to enhance marketing SMS conversion (for a telecom).
Managed a team, researched reinforcement learning applications for the same task.
Stack: python, bash, PostgreSQL, Keras, GCP.

3. Built multiple data pipelines and automation routines as a replacement of manual labor performed by 10 employees.
Currently in the process of constructing a fully autonomous system to be integrated in the business. The system has replaced an approximate of 5 employees and covers data exchange and processing, system monitoring and reporting for executives.
Stack: python, GCP, bash, PostgreSQL.

4. Led a team of data scientists and data engineers in one of the top live streaming platforms, to deliver data driven recommendations to the viewers. Included ML models, A/B testing, working with GCP. Stack: BigQuery, Cloud Functions, Dataflow, Container Registry, Cloud Run, App Engine.

5. Developed from scratch adtech solution for an auctions participant to detect fraud. Stack included: Snowflake, ClickHouse, GCP Cloud Run, Cloud Functions, Dataflow.

6. Developed and maintained from scratch an IT division at a commodity trading enterprise, including management of on-premise and cloud-based infrastructure, integration of existing solutions, research and development of ETL pipelines, BI and analytics setup, development of Django-based internal solutions for operational activities. Stack included: Azure AD, Azure Virtual Machines, Azure Power BI, Azure Flexible SQL, GCP Dataflow, GCP Cloud Functions, GCP SQL, GCP Storage, GCP BigQuery, GCP Cloud Run, GCP Domains.