FastAPI Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used FastAPI
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self hosted solutions
- Development of reusable agentic workflows and mini applications that enable non technical employees to solve business problems independently
- Implementation of internal business applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Implementation of nine mini applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Techstack: Python, Nextjs, Typescript, Streamlit, Anthropic SDK (Claude), Azure, Linux Ubuntu, PostgreSQL, MS SQL, Angular, Authentik
Kevin M.
Last position:
Backend & Infrastructure Engineer at Mileo Systems GmbH
- Engineered production-ready Azure environments using Terraform, ensuring consistent infrastructure parity across VNets and Resource Groups
- Implemented Microsoft Fabric tenant and workspace architecture for multi-stage Medallion data processing pipelines
- Designed secure data pathways using Managed Private Endpoints for isolated Azure Storage access
- Managed Service Principals and authentication tokens for secure REST API integrations
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Axel B.
Last position:
Project lead for introducing Okta as an IAM system at Fritz Schäger GmbH & Co KG
- Project management
- Building an internal IAM team
- Okta
- Project management
- IAM processes
Delly F.
Last position:
Dad of 2 daughters at Family
Jens D.
Last position:
Product Owner & Senior Data Scientist at Legal Tech
- Led an international team of six developers in a Scrum environment
- Defined strategic goals for the project in coordination with stakeholders and the development team
- Prompt engineering for language models to improve the accuracy and relevance of generated responses
- Implemented LangChain components for a RAG chatbot to answer legal questions
- Technologies: GPT-4, LangChain, Python (Pandas, sklearn, streamlit), Docker, GitLab, ChromaDB
Peka C.
Last position:
Data Warehouse Project for a Zoo at Alfatraining
- Created a complete entity-relationship model (ERM) for the future operational database
- Implemented the model using an RDBMS
- Designed and implemented a star schema for inventory management
Discover over 15,000 top freelancers
Statistics of experts using FastAPI
Aggregated from the professional profiles of matched freelancers.
Experience
10 years (Germany: 12 years)
Position duration
1.4 years (Germany: 1.8 years)
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Government and Administration, Education
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
50% (Germany: 72%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Frankfurt using FastAPI
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
FastAPI experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Government and Administration (57%)
- Education (43%)
- Banking and Finance (43%)
- Food and Beverage (43%)
- Professional Services (29%)
- Retail (29%)
- Tourism (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
FastAPI in practice
FastAPI is a Python framework for building web APIs with clear request models, automatic docs, and strong type checks. It is used for backend services, internal APIs, integration layers, and machine learning endpoints where speed and clarity matter.
Typical deliverables
- REST APIs for web and mobile products
- Async services for high-concurrency workloads
- OpenAPI documentation and schema design
- Authentication, validation, and error handling
- Service integrations and data pipelines
Ecosystem and tools
Strong professionals working with FastAPI usually know Python packaging, Pydantic, Starlette, Uvicorn, and async I/O patterns. They also work well with PostgreSQL, Redis, Docker, pytest, and cloud deployment setups that keep services stable and easy to maintain.
When companies bring in help
Teams often bring in freelance FastAPI expertise when a product needs a new API layer, a legacy Flask service needs modernization, or an MVP must move quickly without weak architecture. In Frankfurt, that is common for fintech, logistics, and data-heavy products that need clean interfaces and reliable integrations.
What strong specialists do
A solid FastAPI specialist writes maintainable endpoints, keeps validation strict, and makes the API easy for other specialists to consume. They think about async behavior, dependency injection, background tasks, and test coverage from the start, not after delivery.
Signs you need a specialist
- The API is growing and endpoint design is becoming inconsistent
- You need faster delivery without losing code quality
- Documentation, validation, or auth flows are fragile
- Your team needs help with async Python or service refactoring
- The system must be easy to hand over and extend
Frequently asked questions
Quick answers to the questions that come up most around FastAPI.
FastAPI is used to build Python APIs that are fast to develop and easy to document. Companies use it for web backends, internal services, integration endpoints, and data-facing applications where request validation and clear contracts matter.
FastAPI is often chosen when teams want modern type hints, automatic OpenAPI docs, and strong async support. Flask is simpler and more open-ended, while Django is a full web framework with more built-in features. FastAPI sits well when the focus is a clean API layer rather than a full monolith.
A strong FastAPI specialist usually brings solid Python, Pydantic, and async knowledge. Experience with PostgreSQL, Redis, Docker, pytest, and authentication flows helps a lot because most production APIs depend on those pieces.
A small internal API may only need someone with solid FastAPI fundamentals and good Python discipline. More complex work, such as multi-service systems, async workloads, or public APIs, benefits from a specialist who has already handled schema design, testing, and deployment.
Yes. FastAPI work is often easy to run remotely because the deliverables are code, tests, documentation, and API contracts. In Frankfurt, on-site time can still help when teams need close alignment with product, security, or integration stakeholders.
Look for clear endpoint design, consistent validation, useful error responses, and tests that cover both normal and edge cases. A strong FastAPI freelancer also explains trade-offs, keeps docs current, and avoids turning the API into a tangle of ad hoc patterns.
Yes, FastAPI fits async services very well when the work involves many I/O-bound calls, external integrations, or lightweight microservices. The key is to pair it with good architecture, sensible dependency boundaries, and deployment practices that match the workload.
Ask which parts of FastAPI they have built: public APIs, internal services, async workflows, or refactoring from another framework. It also helps to ask how they handle testing, OpenAPI quality, security, and handover so you know the code will stay usable after delivery.
The average hourly rate of freelancers in Frankfurt, Germany who have used FastAPI in their recent projects is 94 €, which corresponds to a daily rate of about 752 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used FastAPI in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used FastAPI in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Frankfurt, Germany who have used FastAPI in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Frankfurt, Germany who have used FastAPI in their recent projects are Information Technology (100%), Government and Administration (57%), and Education (43%).
The most common business areas among freelancers in Frankfurt, Germany who have used FastAPI in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (86%).
Main locations of FRATCH Experts, who have recently used FastAPI
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Nuremberg Request a free demo
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