Yevhen

Yevhen PROFILE

Omelianenko Python Developer and Data Engineer with production experience
delivering full-cycle backend systems and data infrastructure in fintech.
Sole developer of an OTC payment platform handling multi-currency
Python Developer / Data crypto-to-fiat operations across 11 blockchain networks - from wallet
Engineer generation and AML compliance to settlement logic and financial
reporting.
[відкрити контакти](див. вище в блоці «контактна інформація») Built and maintained automated data pipelines that replaced manual
workflows, serving as the technical backbone for daily business
[відкрити контакти](див. вище в блоці «контактна інформація»)
operations.
Kyiv Combine software engineering depth (FastAPI, PostgreSQL, Docker,
LinkedIn async Python) with applied ML (fraud detection, XGBoost) and LLM
integration (Text-to-SQL), bridging the gap between data and
GitHub production systems.

PROFESSIONAL EXPERIENCE
SKILLS
Python Developer / Data Engineer
Backend Development: Emirex
Python 3.10+, FastAPI, REST API design, JWT 09/2024 – present | Remote
authentication, RBAC, async programming Production API Development:
(asyncio, aiohttp, httpx), Pydantic, Web3.py Sole developer of production FastAPI-based OTC crypto-to-fiat
•

Data Engineering: platform supporting 12+ fiat currencies, 8+ cryptocurrencies, and 11
SQL, ETL pipelines, data validation, multi-source blockchain networks
integration (APIs, PDF, Google Sheets, CSV), Implemented JWT/​RBAC authentication, rate limiting, circuit
•

pandas, NumPy, Polars breakers, and FIFO-based payment settlement with threshold
triggers
Databases: Integrated HexTrust custody for wallet operations and Chainalysis
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PostgreSQL (asyncpg, psycopg2), Redis, database KYT for AML compliance with risk scoring
schema design Data Pipelines & Automation:
Built ETL pipelines: PDF bank statement extraction (Camelot,
•

Machine Learning: pdfplumber) → unified schema → Monday.com via GraphQL API
scikit-learn, XGBoost, MLflow, DVC, feature Automated rolling reserve sync (Google Sheets → PostgreSQL →
•

engineering, model evaluation LLM /​NLP: Power BI) with Kraken exchange rate integration
LangChain, Text-to-SQL, intent classification, Developed multi-coin Binance transaction tracker with incremental
•

prompt engineering sync, deduplication, and triple storage (PostgreSQL, Sheets, CSV)
Automated settlement report generation: PostgreSQL → calculations
Infrastructure:
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(reserves, fees, USDT conversion) → Excel → Google Drive
Docker, Docker Compose, Git, CI/​CD basics ML & Intelligent Systems:
Integrations: Fraud detection system (XGBoost, MLflow) for suspicious transaction
•

Google Drive API, Google Sheets API, Binance patterns and sanctioned wallets
API, HexTrust Custody API, Chainalysis KYT API, LLM-powered agent prototype: intent classification, Text-to-SQL,
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Telegram Bot API, Monday.com⁠ GraphQL API multi-source pricing recommendations
Infrastructure:
Visualization: Docker Compose orchestration for microservices (FastAPI,
•

Power BI, Matplotlib PostgreSQL, Redis) with health checks and network isolation
Telegram notification system for real-time alerts and payment
•

Web Scraping: summaries
Scrapy, Selenium, BeautifulSoup4 Technologies: Python, FastAPI, PostgreSQL, Redis, Docker, pandas,
Web3.py, HexTrust API, Chainalysis API, Google APIs, MLflow, XGBoost,
English: LangChain
Advanced
Data Engineer
EDUCATION FERM
05/2024 – 08/2024 | Kyiv, Ukraine
Marine engineering master degree Built automated data collection pipelines extracting and processing
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Kherson State Maritime Academy raw data from product catalogs, websites, Excel, and PDF files
09/2019 – 12/2020 Developed price monitoring system with web scraping (Scrapy,
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Selenium) integrated with tender platforms for competitive
Marine engineering bachelor degree with
procurement
honors
Created data visualizations and reports using Power BI and
Kherson State Maritime Academy
•

Matplotlib for business stakeholders
09/2015 – 06/2019 Technologies: Python, SQL, Scrapy, Selenium, pandas, NumPy, Power BI
Python Developer
Self-employed
11/2023 – 05/2024 | Kyiv, Ukraine
Developed data processing scripts and automation tools for various
•

clients
•Web scraping solutions for data collection at scale