Python Engineer and Cloud Migration Consultant

• Supported the company's transition from an on-premise architecture to AWS cloud services, playing a pivotal role in modernizing infrastructure and optimizing operational efficiency.
• Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors.
• Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention.
• Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization.
• Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines.
• Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools.

Technologies: Python, Poetry, Ruff, PostgreSQL, SQLAlchemy, Github CI, Kubernetes, Apache Airflow, AWS Cloud.

• Managed end-to-end project responsibilities encompassing backend and frontend components.
• Led efforts to streamline the frontend application, leveraging Swagger and Elasticsearch for improved functionality.
• Designed a comprehensive strategy to transition from a virtual machine-based server infrastructure to a cloud-hosted solution.
• Developed Python/Django Backend microservices, including caching with Elasticsearch and Redis.
• React application development using Bootstrap 4 and evaluated Tailwind CSS.
• Built a component library with storybooks.

Technologies: Python, Django, DRF, Redis, Elasticsearch, Logstash, Kibana, Prometheus, Grafana, Typescript, React, Tailwind CSS.

• Led a team of up to 5 developers, overseeing backend and frontend projects.
• Provided mentorship to data scientists and served as tech lead for backend initiatives while migrating services to AWS cloud.
• Offered expert advice to senior management on strategic technological matters.
• Developed, deployed, and maintained Python/Django applications hosted on AWS.
• Ingested and merged large volumes of data into a centralized database.
• Created user-friendly interfaces through APIs and implemented real-time communication using WebSockets and RabbitMQ.
• Led a data science-oriented backend project essential for powering a data merging service.
• Conducted research on technologies such as Apache Spark, Kafka, and Parquet.

Technologies: Python, Django, DRF, pytest, Elasticsearch, RabbitMQ, Redis, CircleCI, Docker, Kubernetes, Linux, NodeJS, Javascript, Typescript, React, AWS.

• Developed Python/Django backend applications and DjangoCMS.
• PHP development using CodeIgniter 2 framework.
• Implemented Agile project methodologies and administered Atlassian tools.
• Served as onsite System Administrator/Engineer for Unix, Windows, Mac, and OpenVZ Virtualization.