Position: Junior Big Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2

- Publications in scientific journals and participation in a scientific conference
- High academic performance
- Academic scholarship of a President of Ukraine
1. Project: Intelsat
Company: N-iX
Description: US-based company that provides In-flight Internet and entertainment services to the aircraft across the globe, serving more than 2,900 commercial over 6,600 business aircraft. At this moment we cooperate on Business Intelligence, Data Analysis, and BigData directions and look for talents who can contribute to the complex data management and analysis projects.

Duration: 08/2020 - 04/2022
Tools and technologies: Python, Scala, AWS, Spark, Spark Streaming, MariaDB, Oracle, MS SQL
Server, DynamoDB, Athena, Redshift, Accumulo, Spark, Spark Streaming, YARN

Project responsibilities:
- Developed Spark data transformation processors and integrated them into AirFlow pipelines, prepared data for further analysis
- Developed data batch transform pipeline using AWS Sagemaker
- Performed EDA on multiple data sources
- Developed multiple pipelines using AWS Lambda functions
- Worked with different AWS services (RDS, EMR, EC2)


2.Project: Services for telecommunications companies
Company: N-iX
Description: Global company that provides technology and business services for a number of telecommunications companies

Duration: 02/2020 - 06/2020
Tools and technologies: Scala, Apache Spark, Hive, Scala test

Project responsibilities:
- Wrote data transformations, unit, and integration tests - Solved problems with partitioning


3. Project: R&D Incubator
Company: SoftServe
Description: POC for Raspberry Pi-based camera device for emotion recognition during business meetings
Tools and technologies: Python, TensorFlow, Scikit-learn, Movidius NCS, OpenCV

Project responsibilities:
- Trained neural network for facial expression recognition on a large dataset
- Developed pipeline for processing camera feed with two neural networks and clustering,
optimized it to run on Movidius NCS
Interesting tasks, opportunities for professional growth, friendly team