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Anatolii K., Python Software Engineer

Kamianets-Podilskyi, Ukraine
Last Updated: 5 Apr 2024
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- 4 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

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Stanislav, Software Engineer

Last Updated: 15 Dec 2023

Software Engineer with 5 years of experience, specializing in backend and frontend development, as well as DevOps practices. Proficient in Python, JavaScript, and TypeScript, with extensive knowledge of frameworks like FastAPI, Django, Flask, React, and Redux. Demonstrates a strong background in Computer Science and Software Engineering with tangible success in designing robust systems, including microservices and monoliths. Proven expertise with cloud platforms AWS and Azure, and in utilizing various databases such as PostgreSQL, Redis, MongoDB, and DynamoDB. Skilled in CI/CD implementation, containerization with Docker and Kubernetes, and infrastructure as code with Terraform. Impressive track record of project roles, emphasizing performance optimization, architectural design, and integration of machine learning models into production. Holds a significant portfolio of projects across diverse domains such as logistics, social life science, and healthcare.

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FastApi   3 yr.


Python   5 yr.


JavaScript   3 yr.


Django   5 yr.



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Last Updated: 15 Nov 2023

- Experienced software engineer with a strong background in computer science and 4+ years of industry experience. - Proficient in JavaScript, TypeScript, and Python, with expertise in both front-end and back-end development. - Skilled in using Node JS, Express JS, Nest JS, FastAPI, Strapi, Prisma, Mongoose, Cron, Swagger, GraphQL, and more. - Experienced in working with databases like PostgreSQL, MongoDB, and Redis. - Familiar with cloud technologies such as AWS (EC2, S3, Lambda, API Gateway, CloudWatch, CloudFormation, SAM, EventBridge) and Firebase. - Proficient in DevOps practices including Docker, Docker Compose, Kubernetes, GitLab CI/CD, and GitHub Actions. - Strong knowledge of source control systems like Git, GitLab, and GitHub.Note: The provided summary is a concise overview of the software engineer's skills, experience, and technical expertise. It highlights their proficiency in various programming languages, technologies, and tools, as well as their experience with different domains and methodologies. The summary is designed to make the resume stand out among other candidates and attract recruiters for an interview.

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FastApi   2 yr.


TypeScript   5 yr.


Node.js   4 yr.


NestJS   4 yr.


Python   2 yr.

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Ivan, Team Lead

Last Updated: 15 Nov 2023

- Experienced software engineer with a strong background in computer science and software engineering. - Proficient in programming languages such as JavaScript, TypeScript, and Python. - Skilled in both front-end and back-end development, with expertise in Node JS, Nest JS, and FastAPI. - Familiar with various databases including PostgreSQL and MongoDB. - Experienced in cloud technologies such as AWS and DevOps tools like Docker and Kubernetes. - Knowledgeable in software development methodologies such as Scrum and Agile. - Strong problem-solving and analytical skills, with a track record of successfully delivering complex projects.

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FastApi   2 yr.


Node.js   6 yr.


TypeScript   6 yr.


MongoDB   3 yr.


PostgreSQL   6 yr.


Python   2 yr.

View Ivan

Andrii Kh., Python Software Engineer

Last Updated: 9 Apr 2024

- Python Engineer with 5+ years of experience designing, developing, and maintaining web applications and services across diverse industries (Financial Services, Healthcare, E-commerce, Education). - Proficient in both full-stack and backend development utilizing Python frameworks like Django, FastAPI, and Nameko. - Designed and implemented microservices for financial trading platform, healthcare platform, and more. - Extensive experience with relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis). Optimized queries using Django ORM and SQLAlchemy. - Utilized AWS S3 for storage and integrated with various cloud services (Stripe, Auth0, Pipedrive). - Strong computer science expertise and commercial experience in web services architecture and development - Experience with scrapers, extracting data from sites, serializing and validating data

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AI tools and expert human reviewers in the vetting process are combined with a track record and historically collected feedback from clients and teammates. On average, we save over 50 hours for client teams in interviewing FastApi candidates for each job position. We are fueled by a passion for technical expertise, drawn from our deep understanding of the industry.

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Our journey starts with a 30-minute discovery call to explore your project challenges, technical needs, and team diversity. Meet Carefully Matched FastApi Talents. Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person. Validate Your Choice. Bring a new FastApi developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

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Upstaff Managers conduct an introductory round with potential candidates to assess their soft skills. Additionally, the talent’s hard skills are evaluated through testing or verification by a qualified developer during a technical interview. The Upstaff Staffing Platform stores data on past and present FastApi candidates. Upstaff managers also assess talent and facilitate rapid work and scalability, offering clients valuable insights into their talent pipeline. Additionally, we have a matching system within the platform that operates in real-time, facilitating efficient pairing of candidates with suitable positions.

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Table of Contents

Hard skills of a FastApi Developer

Hard skills of a FastApi Developer: FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use and highly efficient. Here are the hard skills required for each level of FastAPI Developer:


  • Python: Proficient in Python programming language.
  • API Development: Solid understanding of API development concepts and best practices.
  • FastAPI Basics: Familiarity with FastAPI framework and its core features.
  • RESTful APIs: Knowledge of RESTful API design principles and implementation.
  • Database Integration: Ability to integrate FastAPI with databases (e.g., SQLAlchemy, Tortoise ORM).


  • Advanced Python: Strong proficiency in Python programming language and its advanced features.
  • FastAPI Advanced: In-depth knowledge of FastAPI framework, including advanced features like OAuth, WebSocket integration, etc.
  • Authentication and Authorization: Experience with implementing authentication and authorization mechanisms in FastAPI.
  • Performance Optimization: Ability to optimize the performance of FastAPI applications, including handling high traffic and reducing response times.
  • Testing: Experience with writing unit tests and integration tests for FastAPI applications.
  • Containerization: Familiarity with Docker and containerization of FastAPI applications.
  • API Documentation: Knowledge of generating API documentation using tools like Swagger UI or ReDoc.


  • Backend Development: Extensive experience in backend development using Python and other related technologies.
  • Architecture Design: Ability to design scalable and maintainable architectures for FastAPI applications.
  • Advanced Database Integration: Proficiency in integrating FastAPI with various databases and ORMs.
  • Microservices: Experience with building and deploying microservices using FastAPI.
  • Security: Deep understanding of web application security and ability to implement secure practices in FastAPI applications.
  • Performance Tuning: Expertise in optimizing the performance of FastAPI applications, including load balancing and caching strategies.
  • Continuous Integration and Deployment (CI/CD): Knowledge of setting up CI/CD pipelines for FastAPI applications.
  • Monitoring and Logging: Familiarity with monitoring and logging tools to ensure the health and performance of FastAPI applications.

Expert/Team Lead

  • Technical Leadership: Proven experience in leading FastAPI development teams and guiding them in technical decision-making.
  • Code Review: Ability to conduct thorough code reviews and provide constructive feedback to team members.
  • API Design: Expertise in designing well-structured and maintainable APIs using FastAPI.
  • DevOps: Proficiency in DevOps practices, including infrastructure automation, deployment strategies, and monitoring.
  • Performance Optimization: Deep understanding of performance optimization techniques and ability to mentor others in this area.
  • Scalability: Experience in designing and scaling FastAPI applications to handle large amounts of traffic and users.
  • Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP and their services for deploying FastAPI applications.
  • Project Management: Strong project management skills, including estimating timelines, managing resources, and coordinating with stakeholders.
  • Team Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Industry Knowledge: Stay updated with the latest trends and advancements in the API development field and share knowledge with the team.
  • Problem Solving: Ability to solve complex problems and troubleshoot issues in FastAPI applications.

Cases when FastApi does not work

  1. Unsupported Python Versions: FastAPI requires Python 3.7 or above to run. If you are using an older version of Python, FastAPI will not work.
  2. Missing Dependencies: FastAPI relies on several external libraries to function correctly. If any of these dependencies are missing or not installed properly, FastAPI may not work as expected.
  3. Network Connectivity Issues: FastAPI requires a stable internet connection to function properly. If your network connection is intermittent or experiencing issues, this may cause FastAPI to stop working.
  4. Firewall or Security Restrictions: If your system has a restrictive firewall or security settings, it may block the necessary network ports or protocols that FastAPI relies on. Ensure that your firewall settings allow FastAPI to communicate freely.
  5. Insufficient Resources: FastAPI, like any other web framework, requires sufficient system resources to operate efficiently. If your system is low on memory, CPU, or disk space, FastAPI may not work optimally or may fail to start altogether.
  6. Conflicting Software: In some cases, other software running on your system may conflict with FastAPI. This can be due to port conflicts, shared dependencies, or other compatibility issues. Ensure that there are no conflicting software running alongside FastAPI.
  7. Incorrect Configuration: FastAPI relies on proper configuration to function correctly. If the configuration settings are not set up correctly, it may cause FastAPI to malfunction or fail to start. Double-check your configuration settings to ensure they are accurate.

TOP 10 FastApi Related Technologies

  • Python

    Python is a versatile and widely-used programming language known for its simplicity and readability. It has a large community and extensive libraries, making it a top choice for FastAPI development.

  • FastAPI

    FastAPI is a modern, fast (high-performance), web framework for building APIs with Python. It provides automatic validation, serialization, documentation, and more. Its asynchronous nature makes it highly scalable and efficient.

  • Pydantic

    Pydantic is a data validation and parsing library that works seamlessly with FastAPI. It allows you to define data models with rich validation rules, making it easier to handle input and output data in your FastAPI applications.

  • Docker

    Docker is a containerization platform that enables you to package and deploy your FastAPI applications as lightweight, isolated containers. It simplifies the deployment process and ensures consistency across different environments.

  • SQLAlchemy

    SQLAlchemy is a powerful and popular Object-Relational Mapping (ORM) library for Python. It provides a high-level interface for interacting with databases, making it a great choice for working with databases in FastAPI projects.

  • JWT (JSON Web Tokens)

    JWT is a commonly used standard for implementing token-based authentication in web applications. FastAPI has built-in support for JWT authentication, allowing you to secure your API endpoints and control access to resources.

  • Pytest

    Pytest is a testing framework that makes it easy to write concise and maintainable tests for your FastAPI applications. It provides a simple syntax and powerful features for test automation and reporting.

TOP 15 Tech facts and history of creation and versions about FastApi Development

  • FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
  • It was created by Sebastián Ramírez in 2018 and has gained immense popularity due to its simplicity and performance.
  • FastAPI leverages the power of Starlette, a high-performance asynchronous framework, and Pydantic, a data validation and serialization library.
  • With FastAPI, you can build APIs that are not only easy to develop but also incredibly efficient, capable of handling thousands of requests per second.
  • FastAPI supports automatic generation of OpenAPI and JSON Schema documentation, making it easier to understand and test your APIs.
  • One of the key features of FastAPI is its support for asynchronous programming, allowing you to write highly scalable and responsive APIs.
  • FastAPI comes with built-in support for OAuth2 authentication and JWT (JSON Web Tokens) authorization, making it easy to secure your APIs.
  • FastAPI provides automatic request validation and serialization of request and response data, ensuring that your APIs receive and return valid data.
  • In terms of performance, FastAPI outperforms many popular Python web frameworks, thanks to its asynchronous design and efficient request handling.
  • FastAPI supports dependency injection, allowing you to easily manage and inject dependencies into your API endpoints.
  • FastAPI has an active and supportive community, with regular updates and enhancements being made to the framework.
  • FastAPI has an extensive ecosystem of plugins and extensions, providing additional functionality and integrations with other tools.
  • FastAPI is compatible with a wide range of deployment options, including containerization technologies like Docker and cloud platforms like Heroku and AWS.
  • FastAPI is continually improving, with new versions being released regularly to introduce new features and address any reported issues.
  • FastAPI is widely adopted by many companies and developers for building high-performance APIs and microservices.

Pros & cons of FastApi

6 Pros of FastApi

  • High Performance: FastApi is built on top of Starlette, which is a highly performant web framework. It utilizes asynchronous programming and supports asynchronous request handling, allowing it to handle high loads and deliver responses quickly.
  • Easy to Use: FastApi provides a clean and intuitive API syntax, making it easy for developers to build and maintain web applications. It offers automatic request validation, serialization, and documentation generation, reducing the development time and effort.
  • Fast Development: FastApi includes a powerful code generation feature that automatically generates client libraries based on the API definition. This speeds up the development process as it eliminates the need to write boilerplate code for API clients.
  • Scalable: FastApi is designed to handle scalable applications. It supports distributed deployment and can be integrated with popular tools like Docker and Kubernetes, allowing the application to scale horizontally to meet increasing demands.
  • Great Documentation: FastApi has detailed and well-structured documentation, making it easier for developers to understand and utilize its features. The documentation includes examples, tutorials, and API references, helping developers get started quickly.
  • Pythonic: FastApi is built using Python, a highly popular programming language known for its simplicity and readability. It follows Python’s best practices and leverages type hints and decorators, making the codebase clean, maintainable, and easily understandable.

6 Cons of FastApi

  • Learning Curve: While FastApi is relatively easy to use, it does have a learning curve, especially for developers who are new to asynchronous programming or the concepts of API frameworks. However, the extensive documentation and community support can help overcome this challenge.
  • Strict Type Checking: FastApi relies heavily on type hints and requires strict type checking, which can be cumbersome for developers who prefer a more flexible approach. However, this strictness ensures better code quality and reduces the chances of runtime errors.
  • Less Mature Ecosystem: Compared to some other web frameworks, FastApi has a relatively young ecosystem. This means that there may be fewer third-party libraries and plugins available. However, the community is growing rapidly, and many common integrations are already available.
  • Limited Database Support: FastApi provides support for popular databases like PostgreSQL, MySQL, and SQLite. However, it may have limited support for less commonly used databases, requiring additional effort for integration.
  • Strict Code Style: FastApi follows a strict code style guide, which may not align with every developer’s preferences. While this ensures consistency and maintainability, developers who prefer a more flexible coding style may find it restrictive.
  • Dependency Management: FastApi uses the Python package manager, pip, for dependency management. While pip is widely used and supported, some developers may prefer alternative package managers or dependency resolution tools.

How and where is FastApi used?

Case NameCase Description
Real-time Analytics DashboardFastAPI can be used to build real-time analytics dashboards that provide insights and visualizations based on live data streams. It allows for efficient processing of large amounts of data and provides a responsive user interface for real-time data exploration and analysis.
Microservices ArchitectureFastAPI is well-suited for developing microservices-based architectures. It supports the creation of independent, loosely-coupled services that can be developed, deployed, and scaled independently. This allows for faster development cycles, improved maintainability, and better scalability of complex systems.
API Backend for Mobile ApplicationsFastAPI can serve as a robust and efficient backend for mobile applications. It offers high-performance API endpoints that can handle concurrent requests from multiple mobile devices. With its built-in support for authentication and authorization, FastAPI ensures secure communication between the mobile app and the server.
Internet of Things (IoT) ApplicationsFastAPI is suitable for building IoT applications that involve collecting and processing sensor data. It can handle high-frequency data streams, enabling real-time monitoring and control of IoT devices. Its asynchronous capabilities allow for efficient handling of concurrent connections and event-driven workflows.
Machine Learning Model ServingFastAPI can be used for serving machine learning models as APIs. It provides a high-performance web server that can handle predictions in real-time. FastAPI’s support for automatic data validation and serialization simplifies the integration of machine learning models into production systems.
Chatbots and Conversational InterfacesFastAPI can power chatbot applications and conversational interfaces. Its asynchronous capabilities enable handling multiple concurrent user interactions, making it suitable for real-time chat applications. With FastAPI, developers can build chatbot APIs that process natural language queries and generate intelligent responses.
Data Streaming and ProcessingFastAPI can handle data streaming and processing tasks efficiently. It supports WebSocket connections, allowing bidirectional communication between clients and servers. This makes it ideal for applications that involve real-time data processing, such as chat applications, live data visualizations, and collaborative editing tools.
Backend for Single-Page Applications (SPAs)FastAPI can serve as a backend for single-page applications (SPAs) built with popular frontend frameworks like React or Vue.js. Its efficient routing system and support for CORS (Cross-Origin Resource Sharing) enable seamless integration between the frontend and backend components, facilitating the development of modern web applications.

Soft skills of a FastApi Developer

Soft skills are essential for a FastApi Developer as they contribute to their overall effectiveness and success in the role. Here are the soft skills required at different levels of experience:


  • Effective Communication: Ability to clearly convey ideas and information to team members and stakeholders.
  • Problem Solving: Aptitude for identifying and resolving issues in the development process.
  • Adaptability: Willingness to learn and adapt to new technologies and frameworks.
  • Collaboration: Ability to work effectively in a team and contribute to the collective goals.
  • Time Management: Skill to prioritize tasks and meet project deadlines.


  • Leadership: Capability to take ownership of projects and guide junior team members.
  • Mentoring: Ability to mentor and coach junior developers, fostering their growth.
  • Critical Thinking: Aptitude for analyzing complex problems and finding innovative solutions.
  • Attention to Detail: Ability to pay close attention to small details while working on complex projects.
  • Conflict Resolution: Skill to handle conflicts and disagreements within the team effectively.
  • Emotional Intelligence: Ability to understand and manage emotions in professional interactions.
  • Decision Making: Capability to make informed decisions based on available information.


  • Strategic Thinking: Ability to align technical decisions with long-term business objectives.
  • Project Management: Skill to manage projects, including planning, resource allocation, and risk assessment.
  • Client Management: Aptitude for building and maintaining strong relationships with clients.
  • Presentation Skills: Capability to present complex technical concepts to both technical and non-technical stakeholders.
  • Innovation: Ability to identify and implement innovative solutions to enhance product development.
  • Team Building: Skill to build and nurture high-performing development teams.
  • Negotiation: Capability to negotiate effectively with clients, vendors, and stakeholders.
  • Business Acumen: Understanding of business processes and how technology can drive business growth.

Expert/Team Lead

  • Strategic Leadership: Ability to provide strategic guidance to the development team and align it with business objectives.
  • Technical Mentorship: Capability to mentor and guide developers in technical aspects.
  • Conflict Management: Skill to identify and resolve conflicts within the team and among stakeholders.
  • Decision-Making Authority: Capability to make critical decisions that impact the overall development process.
  • Influence and Persuasion: Ability to influence stakeholders and drive consensus on technical decisions.
  • Risk Management: Skill to identify and mitigate risks associated with the development process.
  • Continuous Learning: Aptitude for staying updated with the latest trends and advancements in software development.
  • Team Empowerment: Capability to empower and motivate team members for higher productivity.
  • Strategic Partnerships: Skill to build strategic partnerships with external organizations for collaborative opportunities.
  • Conflict Resolution: Ability to resolve conflicts and maintain a positive team environment.
  • Quality Assurance: Aptitude for ensuring high-quality code and adherence to coding standards.

What are top FastApi instruments and tools?

  • Pydantic: Pydantic is a data validation and parsing library that is tightly integrated with FastAPI. It provides runtime validation and serialization of data models, making it easier to define and work with structured data in FastAPI applications. Pydantic was first released in 2018 and has gained popularity for its simplicity and performance. It is widely used in the FastAPI community for input validation and automatic request/response parsing.
  • Tortoise ORM: Tortoise ORM is an easy-to-use asynchronous ORM (Object Relational Mapper) for Python, specifically designed for use with FastAPI. It allows developers to interact with databases using Python classes and provides support for multiple database backends. Tortoise ORM was first released in 2018 and has since become a popular choice for FastAPI applications due to its simplicity, performance, and compatibility with asyncio.
  • HTTPX: HTTPX is a fully featured HTTP client for Python that is compatible with AsyncIO and FastAPI. It provides a more modern and user-friendly interface compared to the standard library’s `http.client` module. HTTPX supports both synchronous and asynchronous requests, making it a versatile tool for making HTTP requests in FastAPI applications. It was first released in 2020 and has gained traction for its performance and ease of use.
  • Redis: Redis is an in-memory data structure store that can be used as a database, cache, or message broker. It is often used in FastAPI applications for caching frequently accessed data or as a message broker for building real-time applications. Redis has been around since 2009 and has a large and active community. Its speed, simplicity, and versatility make it a popular choice for FastAPI developers.
  • Prometheus: Prometheus is an open-source monitoring and alerting toolkit that is widely used in the FastAPI ecosystem. It provides a flexible query language, powerful visualization options, and seamless integration with FastAPI applications. Prometheus was first released in 2012 and has become a de facto standard for monitoring modern applications. Its extensive ecosystem and active community make it an outstanding choice for monitoring FastAPI-based services.

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