Amazon Web Services Experts in Dortmund
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Meet FRATCH Experts in Dortmund, who have recently used Amazon Web Services
Nemanja Milenković
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Laurin Hagemann
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Ashwin Parthasarathy
Last position:
Freelance Data Scientist at Mercor Intelligence
- Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
- Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
- Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.
Adnan Urwani
Last position:
Independent AI & Automation Projects
- Development of an automated job-scouting workflow for the aggregation and LLM-based evaluation of job postings from RSS feeds and APIs.
- Development of a Telegram bot for voice and text messages, featuring LLM-supported processing, summarization, and structured JSON output.
- Implementation of a personal task-planning assistant using n8n, OpenRouter, and Supabase for automated daily and knowledge organization.
- Development of LLM chatbots for structured knowledge retrieval utilizing prompt constraints, guardrails, and forced output formats.
Arkadius Sikora
Last position:
Architect; Senior Developer; Full Stack Developer; DevOps Lead at Bitmarck Holding GmbH
- Requirement engineering for Ombudsstelle and creation of technical user stories for EPA V3
- Handling of objections and revocations via mail and letter with high transaction mail volume
- Coordination with other teams on interfaces
- Design of a highly available, high-throughput solution on OpenShift with Java backend microservices
- Implementation and extension of microservices
- Infrastructure setup for deployment on OpenShift/Kubernetes including Jenkins pipelines
- Integration with BitIAM, TI-M Fachdienst, Consent Keeper and FDV
- Capture of requirements from DevOps operations and business units
- Continuous integration and Scrum practices
- Use cases: Kassenfusion, Opt-Out, Last Test, Widerspruchsmanagement
- Integration test automation and feature extensions including Spring Boot 3 updates
Dany-Armand Djeudeu-Deudjui
Last position:
Senior Data Scientist at ibg NDT GmbH
- Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
- Detect latent patterns in ECT data that reflect intrinsic material characteristics
- Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
- Apply Bayesian Structural Equation Modeling for advanced data analysis
Patrik Garten
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Thomas Grevenkamp
Last position:
Senior .NET / Cloud Engineer at Freelance
Building an observability and alerting solution for Business Central Job Queue monitoring
- Built a central monitoring solution to track the Business Central Job Queue in a multi-organization environment in Azure DevOps
- Integrated Azure Application Insights and Log Analytics for structured collection and analysis of job runtimes and error events
- Developed KQL queries for targeted analysis of failed jobs and detection of error patterns
- Connected Grafana and Power BI to visualize operational metrics and job status in real time
- Implemented an automated alerting workflow with Power Automate – when a job fails, a notification email is sent immediately
- Ensured transparency about the state of productive background processes during live operations
Result: Full transparency over failed Business Central jobs · Clear reduction in response time through automated email alerting · Stable foundation for proactive operation of productive background processes
Technologies: Azure DevOps | Application Insights | Log Analytics | KQL | Grafana | Power Automate | Power BI | Business Central | Azure Monitor
Alexander Königschulte
Last position:
Subproject Manager IT Migration (Carve-out) at EWE / WCG
- Carve-out of Wärme+ customers from EWE to the new company WCG with around 24,000 metering points.
- Development of a migration approach, data migration, process redesign and migration.
- Management of service providers, reporting to the steering committee and executive management.
- Tools: Jira, SharePoint, Draw.io, SAP S/4, SAP PM, WILKEN (ENER:GY, P5), carve-out.
Andreas Einzmann
Last position:
AI Coach and Consultant at Studio 8 Dortmund
- Setting up and consulting a startup for organizational development (AI-supported)
- Vision and mission workshops
- Marketing roadmap and process design
- Development of sales processes (sales funnel, lead generation)
- Brand building and social media omnichannel strategies
- Content generation for audio, video, and posts (AI-supported)
- Agile consulting and SAFe implementation
- Atlassian consulting and setup of Confluence and Jira (workflows, dashboards, reporting)
- Setup of a podcast and video studio including live streaming setup
- Selection and implementation of hardware and software
- Website creation and brand building
- CMS implementation based on Typo3
- Consulting in sales, marketing, and social media
- Supporting companies in the efficient use of AI technologies
- Strategy development and consulting on implementing AI strategies
- Change management and supporting teams in AI adoption, including training
- Technical expertise in machine learning, data processing, and large language models (LLMs) like Llama, Claude, and OpenAI GPT
- Selection, fine-tuning, and integration of LLMs into business processes
- Consulting on ethics and governance for responsible AI use
- Conducting tailored training for executives and teams
- AI analysis of various large language models (Llama, OpenAI, Mistral)
- Creation and training of custom GPTs focused on organizational development (product vision, OKR, agile maturity)
- Development of a chatbot on agile maturity
- Development of an AI-generated survey to assess organizational agility
- Setup of local offline GPTs with a focus on data protection and GDPR compliance
- Conducting AI workshops for SMEs and mid-sized companies
Hamza Sohail
Last position:
Software Developer at WaslSign
- Designed and implemented the system architecture for scalable document workflows, improving stability and performance.
- Optimized the login flow with TOTP-based MFA, reducing complexity and login time by 35%.
- Built secure backend APIs for document upload, signing, and management.
- Developed encrypted file handling with AWS S3 pre-signed URLs, ensuring GDPR-compliant data protection.
- Implemented JWT-based role authentication, strengthening access control and overall platform security and reducing code and database complexity.
- Optimized database queries and caching using ORM, reducing API response time by 40%.
- Integrated real-time webhook updates, enhancing workflow transparency and user experience.
Yoav Netzer
Last position:
Freelance Software Architect at Freelance Consultant
- Various small consultations, e.g. concepts and arcitectures.
- Updating my Matlab, Linux, IPv6, Cyber-Security, C++ (up to 23) and Python skills.
Hendrik Belitz
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Nina Gronewold
Last position:
Software integration - Ecosystem expansion at Sabbatical
- Time off
- Process building and automation
Yasin Yildiz
Last position:
DevOps Architect & Backend Developer at Schweizerische National Bank
- Architecting and enhancing the DevOps infrastructure in a regulated environment
- Migration, planning, and development from a monolith to microservices (ASP.NET Core)
- Building and maintaining CI/CD pipelines (GitLab, Jenkins) to support agile development
- Managing artifact repositories with JFrog Artifactory and security scans via Xray
- Migrating and integrating source code repositories (SVN → GitLab)
- Operating and configuring a container platform with OpenShift
- Automating deployments with Ansible, Helm, and the Ansible Automation Platform
- Implementing monitoring and alerting solutions with Prometheus
- Collaborating closely with the frontend development team to optimize build, test, and release processes
- Supporting the establishment of secure and scalable infrastructure processes (Secure SDLC)
- Documenting and sharing knowledge within the team
- Leading refinements and designing the backend architecture
Discover over 15,000 top freelancers
Statistics of experts using Amazon Web Services
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 17 years)
Position duration
1.6 years (Germany: 2.9 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Healthcare, Professional Services
Certification focus areas
Information Technology, Product Development, Quality Assurance
Bachelor's degree or higher
85% (Germany: 93%)
Master's degree or higher
46% (Germany: 59%)
Doctorate
8% (Germany: 9%)
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Dortmund 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 Dortmund using Amazon Web Services
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Cloud foundation
Amazon Web Services, often called AWS, is used to build cloud setups that can grow, recover, and change quickly. Companies hire specialists for new environments, migrations, and long-term platform work. Common deliverables include account structure, network design, identity setup, and secure baseline policies.
Core services
- EC2 for compute and server-based workloads
- S3 for object storage and backups
- RDS and Aurora for managed databases
- Lambda for event-driven services
- IAM, VPC, and CloudWatch for control, networking, and monitoring
Delivery work
Strong professionals do more than provision services. They automate repeatable setups, connect deployment pipelines, and keep environments stable across dev, test, and production. They also tune reliability, logging, and access control so teams can ship with less risk.
When to bring help
Companies usually look for freelance AWS expertise when a migration is blocked, costs drift up, or a platform needs better structure. That is common in SaaS, e-commerce, data-heavy products, and industrial firms in Dortmund that want cloud support without hiring a full internal team. Remote work is common, but on-site workshops can help with architecture decisions and handover.
What good experts do
- Choose the right mix of managed services
- Write clear infrastructure as code
- Build secure IAM and network boundaries
- Set up backup, observability, and disaster recovery
- Explain trade-offs in plain language
Skills around AWS
A strong Amazon Web Services specialist often brings Terraform or CloudFormation, Linux, networking, Docker, Kubernetes, and CI/CD knowledge. Security thinking matters as much as service knowledge. Good experts document decisions, reduce hidden complexity, and keep the setup easy to operate after handover.
Frequently asked questions
Quick answers to the questions that come up most around Amazon Web Services.
Amazon Web Services is used to run applications, store data, process events, and build scalable back ends in the cloud. Companies also use AWS for networking, monitoring, backups, and disaster recovery. It fits both new product builds and migrations from older hosting setups.
AWS is the common short name for Amazon Web Services, and both names refer to the same cloud ecosystem. Searchers often use either term when they want help with EC2, S3, IAM, or Lambda. In hiring, the key is not the label but whether the specialist has shipped the kind of setup you need.
Amazon Web Services is often chosen for its broad service range, mature ecosystem, and strong support for many deployment patterns. Azure is often compared where Microsoft tools dominate, while Google Cloud is often weighed for data and analytics use cases. The right choice depends on your stack, team skills, and compliance needs.
A strong AWS specialist usually knows infrastructure as code, commonly Terraform or CloudFormation, plus Linux, networking, and CI/CD. Docker and Kubernetes are often important when container platforms are part of the setup. Security, cost control, and logging matter just as much as service selection.
For simple setups, a focused Amazon Web Services expert can be enough to clean up IAM, storage, or deployment flow. For migrations, multi-account design, or regulated environments, you want someone who has handled architecture and operations together. The more business-critical the system, the more you should value proven delivery over general cloud knowledge.
Yes, AWS work is often remote because most tasks are done in consoles, code, and shared docs. Dortmund teams may still want an on-site workshop for discovery, stakeholder alignment, or handover. A good specialist should be comfortable working in English, and German helps when many local stakeholders are involved.
Look for clear decisions, not just service names. A strong Amazon Web Services professional can explain why they chose one architecture over another, how they reduced risk, and how they made the setup easier to run. Clean infrastructure code, sensible IAM, and solid monitoring are good signs.
Ask the AWS freelancer how they handle discovery, cutover, rollback, and post-migration checks. You also want to know how they manage data transfer, identity, network changes, and downtime risk. If the answer stays practical and specific, you are likely speaking with the right specialist.
The average hourly rate of freelancers in Dortmund, Germany who have used Amazon Web Services in their recent projects is 89 €, which corresponds to a daily rate of about 708 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used Amazon Web Services in their recent projects, 85% hold at least a Bachelor's degree, 46% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Dortmund, Germany who have used Amazon Web Services in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Dortmund, Germany who have used Amazon Web Services in their recent projects are German (100%), English (100%), and Spanish (17%).
The most common industries among freelancers in Dortmund, Germany who have used Amazon Web Services in their recent projects are Information Technology (94%), Healthcare (72%), and Professional Services (44%).
The most common business areas among freelancers in Dortmund, Germany who have used Amazon Web Services in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (78%).
Main locations of FRATCH Experts, who have recently used Amazon Web Services
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.
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