Position: Big Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 3

- Designed architecture for the Big Data project that was successfully deployed and working on production, that helps clients to explore telemetric data and they can see possible ways on how to improve performance of some specific part of work to spend less money and at the same time earn more
- Improved performance of SQL queries execution on 30%
- Implemented a new async service to enrich information about entities that were added to the production
- Implemented a script to transfer specific data from one environment to another to avoid errors that can occur due to constraints or triggers on DB. This allows us to quickly start working with the system in a new environment, with the data that was set up in the old environment
Software Big Data Engineer with 3 years in software development. Proficient in the back-end development of applications based on microservice architecture. Provided performance improvements of both API and Database (PostgreSQL). Worked with documentation like software requirements specifications, tech design, and implementation notes for project features. I'm working with the frameworks and technologies used in Big Data: HDFS, MapReduce, PySpark, Hive, Apache Airflow.
I have experience in designing the architecture for Big Data projects, most of the time I use AWS to deploy the system. 
Currently, I'm team lead for the Big Data engineers team.