Сервіс пошуку роботи №1 в Україні
Ivan
Python-програміст
- Розглядає посади:
- Python-програміст, Data engineer, Data analyst, Back end developer, програміст Golang, Full stack програміст, вчитель інформатики
- Вік:
- 24 роки
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно, Київ
Контактна інформація
Шукач вказав: ТелефонЕл. пошту
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/19801975/
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Ivanov Ivan, Software Developer
Kyiv, Ukraine
[відкрити контакти ](див. вище в блоці «контактна інформація»), Telegram: @perepilkaaa
[відкрити контакти ](див. вище в блоці «контактна інформація»)
LinkedIn • GitHub
Summary
Python Back-end Engineer with 3 years of commercial experience building integration
services, ETL pipelines, and microservice-based backend solutions. Strong hands-on
experience with Python, Django/FastAPI, REST APIs, Docker, SQL/NoSQL databases,
Celery, Redis, AWS S3, and observability tooling.
Worked on medical-domain B2B products handling PII under HIPAA-related constraints,
including multitenant administration, authorization flows, storage/query optimization, and
internal telemetry based on OpenTelemetry with Datadog integration. Also have practical
experience with Go/Gin, EmberJS, Kubernetes, ArgoCD, CI/CD, and Linux-based
development workflows.
Motivated to work on high-impact integration products involving backend services, internal
system components, external APIs, and device/service communication.
Skills
● Programming Languages & Paradigms
○ Python: Proficient in idiomatic Python 3.x, strong OOP foundation, SOLID
design principles, clean-code best practices; solid grasp of concurrency &
parallelism concepts
○ Go, Java 11, JavaScript ES6
● Frameworks & Libraries
○ Backend: FastAPI / Django, Gin, Celery
○ Frontend: EmberJS
○ Desktop & GUI: Qt/PySide6
○ Data Analysis & ETL: Pandas, NumPy, DuckDB; custom ETL pipelines for
ERP systems
● Databases & Storage
○ SQLAlchemy, psycopg2
○ PostgreSQL, DuckDB, SQLite; ODBC integration
○ Redis
● DevOps & CI/CD
○ GitLab CI / GitHub Actions
○ Docker
○ Jenkins, ArgoCD
Professional Experience
Software Engineer I, GlobalLogic — 12/2025 – Present
● Worked on a large-scale medical-domain B2B product with millions of daily users,
handling PII and HIPAA-related requirements.
● Developed backend and integration features using Python, Django, Go/Gin, and
JavaScript/EmberJS.
● Implemented an internal OpenTelemetry-based library and delivered Python
microservice telemetry integrated with Datadog for monitoring, tracing, error analysis,
and performance investigation.
● Built end-to-end features related to tenant administration, including multitenancy
authorization, data storage improvements, query optimization, and internal DSL
enhancements.
● Worked with microservice infrastructure and supporting technologies, including
Docker, Kubernetes, ArgoCD, Celery, Redis, AWS S3, and CI/CD pipelines.
● Supported feature delivery across backend, frontend, infrastructure, and monitoring
layers in a dynamic product environment.
Software Engineer, Caseware Ukraine — 04/2024 – 12/2025
● Developed highly configurable ETL and integration solutions for multiple ERP
systems using Python, enabling automated financial data processing across
heterogeneous platforms.
● Participated in the development of a desktop product built with PySide6, including
backend services implemented with FastAPI.
● Designed and implemented integration workflows between Python infrastructure and
native C++ integration components.
● Developed a high-performance data transformation algorithm capable of processing
gigabytes of financial data with low memory footprint and high throughput.
● Collaborated with cross-functional teams to deliver end-to-end product features and
customer-specific integrations.
● Implemented reusable application architecture patterns that improved maintainability
and responsiveness of high-load desktop applications.
Software Engineer, Self-employed, Kyiv — 2023 ‑ Present
● Implemented cash flow analysis tools based on a popular Ukrainian POS system
(saved about 300k UAH a year for a couple of popular Kyiv cafes) in Python
(web-scraping with Selenium and data analysis with Pandas)
● Human capital management automation implementation (saved about 5 hrs a week
for cafe middle management employees)
Education
Bachelor, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,
Kyiv 2019 — 2023
● Qualified (Diploma) with KROK Physical Rehabilitation Bachelor's.
● Gained solid experience in problem-solving and difficult multi-component algorithm
implementation (in treatment programs), and became a fast learner
Kyiv, Ukraine
[
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LinkedIn • GitHub
Summary
Python Back-end Engineer with 3 years of commercial experience building integration
services, ETL pipelines, and microservice-based backend solutions. Strong hands-on
experience with Python, Django/FastAPI, REST APIs, Docker, SQL/NoSQL databases,
Celery, Redis, AWS S3, and observability tooling.
Worked on medical-domain B2B products handling PII under HIPAA-related constraints,
including multitenant administration, authorization flows, storage/query optimization, and
internal telemetry based on OpenTelemetry with Datadog integration. Also have practical
experience with Go/Gin, EmberJS, Kubernetes, ArgoCD, CI/CD, and Linux-based
development workflows.
Motivated to work on high-impact integration products involving backend services, internal
system components, external APIs, and device/service communication.
Skills
● Programming Languages & Paradigms
○ Python: Proficient in idiomatic Python 3.x, strong OOP foundation, SOLID
design principles, clean-code best practices; solid grasp of concurrency &
parallelism concepts
○ Go, Java 11, JavaScript ES6
● Frameworks & Libraries
○ Backend: FastAPI / Django, Gin, Celery
○ Frontend: EmberJS
○ Desktop & GUI: Qt/PySide6
○ Data Analysis & ETL: Pandas, NumPy, DuckDB; custom ETL pipelines for
ERP systems
● Databases & Storage
○ SQLAlchemy, psycopg2
○ PostgreSQL, DuckDB, SQLite; ODBC integration
○ Redis
● DevOps & CI/CD
○ GitLab CI / GitHub Actions
○ Docker
○ Jenkins, ArgoCD
Professional Experience
Software Engineer I, GlobalLogic — 12/2025 – Present
● Worked on a large-scale medical-domain B2B product with millions of daily users,
handling PII and HIPAA-related requirements.
● Developed backend and integration features using Python, Django, Go/Gin, and
JavaScript/EmberJS.
● Implemented an internal OpenTelemetry-based library and delivered Python
microservice telemetry integrated with Datadog for monitoring, tracing, error analysis,
and performance investigation.
● Built end-to-end features related to tenant administration, including multitenancy
authorization, data storage improvements, query optimization, and internal DSL
enhancements.
● Worked with microservice infrastructure and supporting technologies, including
Docker, Kubernetes, ArgoCD, Celery, Redis, AWS S3, and CI/CD pipelines.
● Supported feature delivery across backend, frontend, infrastructure, and monitoring
layers in a dynamic product environment.
Software Engineer, Caseware Ukraine — 04/2024 – 12/2025
● Developed highly configurable ETL and integration solutions for multiple ERP
systems using Python, enabling automated financial data processing across
heterogeneous platforms.
● Participated in the development of a desktop product built with PySide6, including
backend services implemented with FastAPI.
● Designed and implemented integration workflows between Python infrastructure and
native C++ integration components.
● Developed a high-performance data transformation algorithm capable of processing
gigabytes of financial data with low memory footprint and high throughput.
● Collaborated with cross-functional teams to deliver end-to-end product features and
customer-specific integrations.
● Implemented reusable application architecture patterns that improved maintainability
and responsiveness of high-load desktop applications.
Software Engineer, Self-employed, Kyiv — 2023 ‑ Present
● Implemented cash flow analysis tools based on a popular Ukrainian POS system
(saved about 300k UAH a year for a couple of popular Kyiv cafes) in Python
(web-scraping with Selenium and data analysis with Pandas)
● Human capital management automation implementation (saved about 5 hrs a week
for cafe middle management employees)
Education
Bachelor, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,
Kyiv 2019 — 2023
● Qualified (Diploma) with KROK Physical Rehabilitation Bachelor's.
● Gained solid experience in problem-solving and difficult multi-component algorithm
implementation (in treatment programs), and became a fast learner
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