Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 5

Data Engineer achievements:
[1] 2x AWS Certified:
    - AWS Certified Cloud Practitioner
    - AWS Certified Solutions Architect – Associate
[2] Public speaker at International Conferences among English and Russian communities
[3] Have my personal blog
[4] Open-source contributor on a regular basis
[5] Was responsible for trainee's onboarding
[6]. Developed standalone tool, that allows:
    1) Parse data by passing list of companies into raw dataframe
    2) Clean raw data frame
    3) Convert data frame into suitable for analysis format

Data Science achievements:
[1]. Won AI Spring Hackathon 2018 in computer vision track.
[2]. Took part in kaggle competition: the result is top 22% out of 3800+ teams.
[3]. Object detection project has been done. (tensorflow+keras, deep learning)
[4]. Participant of Ukraine data science club: 
- created image classification neural network (keras+tensorflow, deep learning)
- worked with time series
[5]. Passed a lot of courses in a variety of platforms, including Machine Learning and Data Analysis from Yandex and Deep Learning from Andrew Ng. 
[6]. SMART Academy (Data Science 17.10.2017 – 22.11.2017).
Data Engineer
5 years of commercial experience in IT: Android Developer => Data Scientist => ML Engineer => Data Engineer

Aiming to work with AWS or GCP in the future 

Computer Science bachelor's degree.

Skills:
- Python | Scala | Java
- AWS: DynamoDB, DMS, EC2, CloudWatch, S3, IAM, SFPT, Lambda, EMR, Lake Formation, Glue, Athena, Kinesis Data Firehose, Amazon ElasticSearch, CloudFormation (IAC), Code Commit, Code Pipeline, Code Build, ECS, ECR
- Spark
- Airflow
- Docker
- SQL
- ElasticSearch
- Kafka
- Jenkins
- Redis, MongoDB: fundamentals
I have 5 years of software development experience and am looking for a Data Engineer position with AWS cloud provider.