Yuri L., Senior Python Engineer for Data Spaces

Data Engineer (9.0 yr.), DevOps (9.0 yr.)
english B2 (Upper-Intermediate) English
seniority Senior (5-10 years)
location Poland UTC+01:00

Summary

Software Engineer with a comprehensive Computer Science education and 9 years of experience in Fin-tech, E-Commerce, and Investment domains. Technical proficiencies include Python, JavaScript, TypeScript, and Go, with notable expertise in backend frameworks like Django and Flask, and data engineering tools such as Apache Spark and Airflow. Experienced in cloud environments, particularly Azure and AWS, providing scalable data processing solutions. Strong DevOps skill set with Docker, Kubernetes, and CI/CD implementation ensuring robust deployments. Proven track record in projects that demand seamless backend development, efficient data pipeline construction, and cloud infrastructure automation.

Main Skills

Programming Languages

AI & Machine Learning

Python Libraries and Tools

Alembic Pydantic PySpark pytest

Python Frameworks

Django REST framework Flask

JavaScript Libraries and Tools

Formik Pinia Redux-Saga Vuex Webpack yup

Go Frameworks

Gin

Go Libraries and Tools

Gin

UI Frameworks, Libraries, and Browsers

HTML/CSS Preprocessors

JavaScript Frameworks

Nuxt Vue.js

Data Analysis and Visualization Technologies

Apache Airflow Apache Nifi

Databases & Management Systems / ORM

AWS DynamoDB AWS ElasticSearch MongoDB MySQL Redis

Amazon Web Services

AWS DynamoDB AWS ElasticSearch

Azure Cloud Services

Azure Service Bus

Deployment, CI/CD & Administration

Axios GitLab CI Helm Jenkins

Scripting and Command Line Interfaces

Bash

Version Control

BitBucket Github Actions

Logging and Monitoring

Datadog Prometheus

Web/App Servers, Middleware

Nginx

QA, Test Automation, Security

SDK / API and Integrations

iOS Libraries and Tools

Viper

Other Technical Skills

Dynatrace Marshmallow
ID: 300-214-469
Last Updated: 2025-01-20

Work Experience

Software Engineer / Data Engineer, DRIVE REWARDS PLATFORM

Duration: 07.2022 - till now
Summary: The IoT platform collects and analyzes trip data, providing personalized recommendations and rewards based on driving behaviors.
Responsibilities: Designing the microservices structure, maintaining ETL processes, designing CI/CD pipelines, backend development, performance tuning, deploying ML models, setting up serverless workflows, building scalable data pipelines, and following TDD principles.
Technologies: Python, Go, Gin, Viper, GinkGo, Gomega, FastAPI, SQLAlchemy, Pydantic, Alembic, Apache Spark, PySpark, Apache Nifi, Pytest, Azure, PostgreSQL, MongoDB, Redis, Celery, Kafka, Docker, Docker Compose, GitLab, Datadog, Bash, Terraform, Kubernetes(k8s), Helm

Software Engineer / Data Engineer, IN-GAME COMMERCE

Duration: 06.2020 - 07.2022
Summary: A pioneering platform, gComm, allows gamers to purchase physical products directly within mobile games, establishing a new market category: In-Game Commerce.
Responsibilities: Close customer communication, scalable data architecture design, serverless application design, developing real-time data processing pipelines, full-stack development, orchestration of ELT/ETL data pipelines, AWS Lambda functions setup, monitoring and logging, integrating AWS Kinesis with services, Kubernetes load balancing, CI/CD job configuration, and following test-driven development principles.
Technologies: Python, JavaScript, TypeScript, FastAPI, SQLAlchemy, Alembic, Pydantic, Celery, Pytest, Apache Spark, PySpark, Apache Airflow, OpenAI, Vue.js, Vuex, Nuxt.js, HTML/CSS, Pinia, Webpack, Axios, AWS, Kafka, GitLab, GitLab CI, Redis, PostgreSQL, ElasticSearch, Docker, Docker Compose, Terraform, Kubernetes(k8s), Dynatrace, Bash

Software Engineer, INVESTMENT ANALYTICS PLATFORM

Duration: 03.2018 - 06.2020
Summary: The Investment Analytics Platform turns climate factors into strategic advantages for investors, enabling them to assess climate-related market risks and engagements.
Responsibilities: Backend development, serverless architecture implementation, ML algorithm integration, VM instance management, global distribution configuration within Cosmos DB, PostgreSQL performance optimization, API documentation creation, custom alerting rules for monitoring, CI/CD process configuration, and technical documentation.
Technologies: Python, JavaScript, TypeScript, Django, Django Rest Framework, Flask, Flask-RESTPlus, SQLAlchemy, Celery, Alembic, Marshmallow, Swagger, Pytest, React, React Testing Library, Redux, Axios, MUI, Formik, Yup, HTML/CSS, Webpack, Azure, PostgreSQL, MongoDB, Docker, Docker Compose, Jenkins, Bitbucket, Nginx, Prometheus, Grafana, Terraform, Bash

Software Engineer, LOAN APPLICATIONS BUILDER

Duration: 05.2016 - 03.2018
Summary: A specialized platform for creating and managing loan applications, facilitating communication between users, intermediaries, and banks.
Responsibilities: Backend development, serverless architecture, technical and API documentation, containerized application management, third-party service integration, AWS S3 configuration, AWS EC2 instance scaling, SQL server performance monitoring, SQL query performance management, and automated testing.
Technologies: Python, Django, Django Rest Framework, Pytest, AWS, MySQL, Celery, Nginx, GitHub, GitHub Actions, Docker, Docker Compose, Bash

Education

  • Computer Science and Software Engineering