03/12/2026 updated
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Data Engineer / Back-end Developer
Lviv, Ukraine
Only remote
M.Sc. in Technical Sciences, Computer Networks & TelecommunicationsJavaScriptApplication Programming Interfaces (APIs)Amazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisArchitectureCloud ComputingDatabasesExtract Transform Load (ETL)Data ManagementDevOpsDjangoPython (Programming Language)PostgreSQL
Python Development
Python programming with over 5 years of hands-on experience in API development and data-centric solutions
Data Pipeline Engineering
ETL/ELT pipeline creation and maintenance using AWS Glue and PySpark for data processing
Database Architecture
Database solution design with PostgreSQL, DocumentDB, and Delta Lake for robust data management
API Development
Scalable API building using FastAPI, Django REST API, and AIOHTTP frameworks
Cloud Infrastructure
AWS services including EC2, ECS, S3, Athena, Glue, Step-Functions, Lambda for cloud-based solutions
JavaScript Technologies
JavaScript, TypeScript, Node.js, Angular, React development for full-stack solutions
DevOps Tools
Docker, Docker-compose, Jenkins, Git for deployment and ongoing development processes
Data Processing
PySpark, Pandas, NumPy for data analysis and processing workflows
Python programming with over 5 years of hands-on experience in API development and data-centric solutions
Data Pipeline Engineering
ETL/ELT pipeline creation and maintenance using AWS Glue and PySpark for data processing
Database Architecture
Database solution design with PostgreSQL, DocumentDB, and Delta Lake for robust data management
API Development
Scalable API building using FastAPI, Django REST API, and AIOHTTP frameworks
Cloud Infrastructure
AWS services including EC2, ECS, S3, Athena, Glue, Step-Functions, Lambda for cloud-based solutions
JavaScript Technologies
JavaScript, TypeScript, Node.js, Angular, React development for full-stack solutions
DevOps Tools
Docker, Docker-compose, Jenkins, Git for deployment and ongoing development processes
Data Processing
PySpark, Pandas, NumPy for data analysis and processing workflows
Languages
EnglishFluent
Project history
Developed a financial AI platform for analyzing financial data and generating investment recommendations through tools like StockWise, FundWise, SignalWise, and the Bridget chatbot, supporting multiple languages for global financial institutions and individual investors.
Built a system for secure document exchange between customers and suppliers, powered by AI and parsers to convert PDF-based documents to Peppol format, with tools for integration into existing document management processes and connectivity with the Peppol network and Keeros.
Contributed to a document exchange system with AI-driven PDF parsing and Peppol integration, enhancing secure document delivery and client workflow integration.