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

Migrated to cloud the full scale multistack system for geospatial data processing in real time. The system consists from a bunch of ETL processes, both batch and streaming, Geoserver as backend, React app as frontend and Acumulo as distributed database, continuously debugging and upgraded the system.
Big Data Engineer at N-IX
February 2021
Data Engineering activities  - developing, maintaining and troubleshooting big data pipelines (ETL, ELT) using Spark, Hadoop, Airflow. 
Experinced with AWS cloud tech: EMR, EC2, S3, Kinesis, Lambda, S3, SES, Athena, Redshift.
Get known with Scala and JS, working with geospatial data.
Tech Stack:
Python/Scala/JS/Spark/Hadoop/Airflow/AWS/Git/Acumulo/Geomesa/Geoserver

Database Researcher at AllStarsIT 
October 2020 - Junuary 2021
Research new types of database vulnerabilities, applying best practices and official security policies to the on-prem and cloud databases (vSphere, AWS, Azure). Developing bash scripts for OS security checks, python parsers and other internal tools, sql-queries. DBA activities, tuning databases according to the best security practices. 
Bash/Python/SQL/DBA/Linux/Windows Server/AWS/Azure  

Data Analyst/Research Engineer  at Ring Ukraine  April 2018 - September 2020   
Implemented anomaly detection applications, developed web applications for Edge devices performance analytics and Data Collection Process. Dashboards developing. developed analytics applications for computer vision algorithms (ex: people/vehicle detection/tracking) based on Cloud platform AWS). Data Collection on real world conditions. Applying Machine Learning and Deep Learning techniques. 
Python/Linux/SQL/AWS Athena/Redshift/Scikit-learn/Pytorch   

Data Annotation Specialist  at Ring Ukraine  
October 2017 - April 2018   
Data Annotation and Data Quality control using internal tools. Data Entry activities. 
 Mac OS/JSON
Azure cloud