- Using the SQL-first approach in development (PyWay)- Development of financial system core servicesIntegration and use of transactions to work with the financial part of system users- Worked in depth with pending tasks and scheduled tasks. Developed a service responsible for creating pending tasks within the project- Participation in the adoption and development of service architecture- Developed functionality within the microservice architecture- When writing services, I adhered to DDD and clean architecture. I used type hints to make it easier to understand how to work with variables.- I was reviewing the code of a less experienced colleague.- I built a standard for processing point errors and a standard for detailed information about errors, which made it possible to structure the most common errors and break them down into sub-errors depending on the situation and its occurrence.- I covered the functionality I wrote with unit tests(pytest), and also began to develop a microservice testing standard.

- Development of a user verification and authorization service- Development of scripts for working with finances (cryptocurrency) with external APIs.- Development of services with OpenAI integration- Optimizing slow SQL queries(explain, prefetch/select related)- Worked on the backend of telegram bots involved in data analysis.(aiogram)- Developed an internal service for monitoring the sending of email notifications to company employees.- Deployed the project on a vps server(docker, docker-compose, nginx). Configured SSL certificates- Rewrote one large monolithic service from legacy to modern microservices and introduced new principles of service application architecture.- Coverage of unit functionality and integration testing

- Development of an input data filtering service- Development of CRUD api according to technical specifications and business requirements- Building large SQL queries using django orm Covering the code base with unit tests(pytest)- Implemented deferred tasks to send notifications to users.- Integrated a custom jwt token, with the ability to quickly scale and increase useful data in the token.