Віталій

Vitalii Pukaliak [открыть контакты](см. выше в блоке «контактная информация»)
Python Backend Engineer | Microservices * [открыть контакты](см. выше в блоке «контактная информация»)
6+ years of professional backend experience h"ps://[открыть контакты](см. выше в блоке «контактная информация»)
pukaliak/
📍 Lviv, Remote

About me Educa&on
Master of Engineering
An experienced backend engineer with over 6+ years of hands-on experience in Master of Economics
developing, scaling, and maintaining producXon systems in the domains of public and × Lviv Polytechnic Na0onal University
commercial procurement and services. Contributed to the delivery of both MVP
soluXons and fully featured commercial products that have been operaXng for years Frontend/Backend Developer
and serve tens of thousands of acXve users daily. × Logos IT Academy (Lviv)
Possess pracXcal experience in microservice architecture design, building data × 09/2017 – 04/2019
processing pipelines, and integraXng with external APIs, payment systems, and CRM Linux Server Administrator
× IT Step (Lviv)
pla^orms. Have worked in team environments of various sizes as well as in fully
× 09/2017 – 12/2017
autonomous engineering roles with responsibility for system architecture,
development, and long-term maintenance.
Focused on engineering quality, system stability, and delivering measurable business Languages
value. English – B1+
Working experience

Full-Stack Developer × AIT, inc. (USA, Lviv Department):
º Full-time 08/2019 – 02/2022, Full-time 10/2022 – present day
Backend Developer × Devabit (Ukraine): Skills
º Full-0me 02.2022 – 10.2022
Programming:
AIT × Lead Backend × Domains: Procurement data acquisiBon, Internal automaBon Python (3.12, 3.13), JavaScript,
Solidity
7th project: Crypto-Enabled Social PlaForm (AIT)
• Developed microservices, features, and crawlers for AIT’s flagship product - a Frameworks:
social network for buyers and sellers that launched its own cryptocurrency. Django 4.0, FastAPI, Flask 3.0, Django
• Built crawlers to collect data from hundreds of external sources. REST Framework (DRF)
• Contributed to the data processing pipeline leveraging AI for file analysis and
automated summarizaNon. Databases & Storage:
• Designed and implemented a backend service from scratch responsible for PostgreSQL, MongoDB (GridFS),
handling user requests. Redis, MySQL, InfluxDB, S3-
• ParXcipated in the design of a large-scale unstructured data storage soluNon compaXble storage
using GridFS and S3-compaNble storage.
• Contributed to the development of a service component responsible for the DevOps & Infrastructure:
digital assets subsystem, where asset lifecycle management and transacXons are Docker, Linux, Git, RabbitMQ, Celery
Xghtly coupled with data processing workflows.
Used technologies: Python 3.12, Python 3.13, SQLAlchemy 1.4, SQLAlchemy 2.0, Data Processing:
PostgreSQL, Alembic, Flask 3.0, FastAPI, MongoDB, GridFS, Redis, S3 Storage, Scrapy, Selenium, Playwright,
Selenium, Playwright, Solidity, Docker Pandas, NumPy

Frontend Technologies:
th
6 project: HTML, CSS
• Designed and delivered a full-cycle producNon plaForm from scratch, including
system architecture, backend, frontend, and deployment processes.
• Built data ingesNon pipelines from government APIs, intelligent data processing
mechanisms, and automated publishing to Salesforce.
• Implemented user management, authenXcaXon, noXficaXon, and configuraXon
subsystems.
• Ensured long-term producNon stability, reliability, and maintainability.
• Owned the full system lifecycle, including architectural evoluXon and producXon
support.
Used technologies: Python 3.10, Django 4.0, PostgreSQL, Docker, HTML, CSS, JS
Devabit × Backend Engineer × Domains: Service operaBons and billing plaGorm Hobby
CollecXng retro game
5th project: consoles and games
• Implemented data processing and forecasNng pipelines based on a client-
provided analyXcal model.
• Ensured reproducibility and reliability of computaXonal workflows.
Used technologies: Python 3.10, Pandas, Numpy, Flask, PostgreSQL, Redis, Docker

4th project:

• Contributed to the design and implementaNon of a new plaForm aimed at
opXmizing operaXons of marine vessel repair workshops.
• Worked as a Mid-level Backend Engineer in a two-engineer team, parXcipaXng in
core architecture design and delivery of all major features.
• Implemented transacNonal workflows, including online payments, payment
processing, and automated email noNficaNons (SendGrid).
Used technologies: Python 3.10, Django 3, Django REST Framework, Redis,
PostgreSQL, MongoDB, React, Docker

AIT × Backend Engineer × Domains: Procurement data acquisiBon, Microservice-based
procurement plaGorm

3rd project:
• Contributed to the development of a commercial plaForm with over 10,000 daily
acNve users, achieving full producXon launch within 4 months.
• Developed microservices using reusable templates created in the previous
project.
• Implemented core backend funcNonality for all business services, including
customer management and integraXon with public data sources.
• Responsible for producXon support, delivery of new features, and long-term
system stability.
Used technologies: Python 3.10, Flask, Connexion, OpenAPI, RESTful API, PostgreSQL,
MongoDB, InfluxDB, Docker, SQLAlchemy, Celery, Redis

2nd project:
• Implemented 8 microservices according to defined architectural standards,
covering user management, business enXXes, and government procurement data
retrieval.
• Developed reusable service templates and API convenXons that became the
foundaNon for mulNple subsequent producNon systems.
• Delivered a stable, producNon-ready MVP that served as the basis for future
commercial products.
Used technologies: Python 3.8, Flask, Connexion, OpenAPI, RESTful API, PostgreSQL,
MongoDB, InfluxDB, Docker

1st project:
• Maintained a web scraping pla^orm with 200+ producXon crawlers, ensuring
conXnuous data collecXon to support procurement process opXmizaXon.
• Restored crawler funcNonality within <1 business day.
• Integrated new crawlers for new suppliers within 3 days, significantly
acceleraXng the onboarding cycle.
• Built data normalizaXon and enrichment pipelines.
• Supported asynchronous processing pipelines using RabbitMQ.
Used technologies: Python 2.7, Python 3.7, JavaScript, HTML, CSS, Scrapy, MySQL,
InfluxDB, RabbitMQ