Andrei

ANDRII SULAI
Dnipro, Ukraine
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Middle Python Developer

PROFESSIONAL SUMMARY
Motivated Python Developer with 5+ years of hands-on experience building and maintaining scalable backend systems,
RESTful and WebSocket APIs, and data-intensive applications. Proven expertise in Python (FastAPI, Flask), relational and
NoSQL databases, Celery task queues, and containerized deployments. Hands-on background in quantitative finance and
statistical modeling. A collaborative team player who contributes across backend, data, and frontend layers to ship reliable,
production-ready software.

TECHNICAL SKILLS

Languages Python (advanced), Java, JavaScript / TypeScript, SQL
Frameworks FastAPI, Flask, SQLAlchemy, Celery, Vue.js
Databases MySQL (InnoDB), PostgreSQL, MongoDB, Elasticsearch, Redis
DevOps Docker, Podman, Linux, CI/CD pipelines, Git / GitHub
Data & Analytics Pandas, NumPy, Matplotlib, regression modeling, backtesting
APIs REST API, WebSocket API, OAuth 2.0, JSON / OpenAPI
Methodologies Agile / Scrum, TDD, code review, system design

WORK EXPERIENCE

Noosphere | Dnipro, Ukraine
Python Developer Jan 2020 – May 2025
• Architected and delivered production web applications integrating REST and WebSocket APIs, supporting real-time data
exchange for tens of thousands of concurrent users.
• Built and maintained high-performance backend services with Python, FastAPI / Flask, Celery, and MySQL InnoDB,
improving overall response time and system throughput.
• Developed automation tools and data-sync scripts interfacing with MySQL, PostgreSQL, MongoDB, and Elasticsearch,
significantly reducing manual data-operations effort.
• Designed and optimized Elasticsearch indexing pipelines enabling full-text search and real-time analytics across millions
of records.
• Contributed to Vue.js front-end components, improving UI responsiveness and cross-browser consistency.
• Led containerization efforts with Podman; collaborated on system design and DB schema optimization, shortening
release cycles and boosting service reliability.
• Conducted code reviews and mentored junior engineers on API design, testing standards, and security best practices.

xDelta Capital | Dnipro, Ukraine
Python / Java Developer Jan 2019 – Aug 2020
• Developed analytical and financial applications in Python to support quantitative research and data-driven decision-
making for trading teams.
• Constructed regression and statistical models using Pandas, NumPy, and Matplotlib for algorithm development and
multi-year strategy backtesting.
• Partnered with quantitative researchers to design and validate trading and forecasting models, contributing to
measurable improvements in risk-adjusted returns.
• Built automated data ingestion and cleansing pipelines to ensure high-quality inputs for financial models.
KEY ACHIEVEMENTS
• 5+ years of full-cycle Python development across web platforms, fintech, and data engineering.
• Improved system performance via backend optimizations and async task processing.
• Contributed to improved risk-adjusted trading performance through quantitative model refinement at xDelta Capital.
• Delivered containerized, CI/CD-ready deployments adopted across multiple production environments.

EDUCATION

National Metallurgical Academy of Ukraine (NMAU) — Dnipro
Bachelor's Degree, Materials Science | 2013 – 2014

LANGUAGES
Ukrainian — Native English —B1