
Amazon Web Services Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used Amazon Web Services
Oleg O.
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Stefan R.
Last position:
Business Analyst at Galeria
Independently managed the POS tender process for food service operations in department stores.
Structured requirements gathering, both functional and technical.
Created a management-ready specification as a basis for decision-making by management and IT.
Market overview of relevant POS providers.
Close coordination with Galeria's IT and business departments.
David O.
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Partha N.
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Leif S.
Last position:
Software Architect at QualityMinds GmbH
- Lead software architect and technical team lead for a new logistics platform for load carrier trade
- Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
- Evaluation of initial business requirements and software development roadmap
- Technical team lead in a Scrum team of 9 people
- Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development
Michael F.
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Vladimir E.
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Onur D.
Last position:
Co-Founder at tickitaka
- Live ticker SaaS platform for Football and Ice Hockey
Muntaha S.
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Si T.
Last position:
Senior Software Architect at Anonymous (European Payment Provider)
- Development of a new innovative payment product for the European market with the aim of establishing an alternative to the existing global players.
- Set-up and scaling of the software development processes and teams.
- Architect and implementation of the business processes in an event sourcing microservice architecture.
- Implementation on a prototype in the context of the Digital Euro.
- Technologies: Ktor (Kotlin), AWS Managed Kubernetes with Fargate, MongoDB, React, ElasticSearch, KoTest, Gradle, Agile Development, Pair Programming, GitHub Actions, Gradle, SonarQube
Mayuri K.
Last position:
Platform Engineer at Madison Logic
- Designed and operated a GitOps-based Kubernetes platform, migrating services from AWS ECS to Amazon EKS.
- Built automated CI/CD pipelines for container build and deployment using GitLab CI, Helm, and Argo CD.
- Developed reusable Helm charts for Kubernetes resources (Ingress, Services, Secrets, HPA, ExternalDNS).
- Provisioned and managed EKS (Fargate and EC2) using Infrastructure as Code (Terraform / OpenTofu).
- Implemented OIDC-based authentication and authorization (Okta) for secure access to Kubernetes and Argo CD.
- Improved container security by migrating services to distroless images.
- Implemented logging, monitoring, and observability to ensure system reliability and performance.
- Automated cloud cost optimisation using Python (Boto3), achieving approximately 45% cost savings.
- Led migration of AWS infrastructure to IaC, reducing configuration drift and deployment issues.
- Produced technical documentation and operational runbooks, supporting internal engineering teams.
Pawan S.
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Radovan R.
Last position:
Development and Technical Architecture at HDI
Web application for contract changes
Micro frontend development from scratch through production with a Reactive Forms basis, Responsive Web Design, validation, multilingual support, accessibility, unit tests and component tests
Technologies: Angular 19-20, Nx, Angular CLI, Native Federation, TypeScript, HTML, SASS, Tailwind CSS, Angular Material, Reactive Forms, RxJS, Signals, PDF-Make, ng-openapi-gen, i18n, JSON Server, REST, JWT, Jest, Playwright, IntelliJ, Git, CI/CD with GitLab, Cloud Foundry, Nginx; Scrum
Jasmin E.
Last position:
Head of Cloud Sales, Advisory & Solutions Central Europe at Eviden
- Sustained new business growth with 120%+ book-to-bill despite challenging corporate and market headwinds.
- Delivered the strongest deal conversion across business lines and Cloud regions (qualified: 50%+ win rate, 70%+ hit rate).
- Expanded and strengthened Cloud, Smart Data/AI, and Sovereignty capabilities and partnerships.
- Improved operational efficiency, transparency, and speed by optimizing Sales, Pre-sales, and Workforce Management processes — reducing time to staffing, enhancing solution readiness, and faster time to offer.
- Coached and mentored emerging talents and future executives.
- Served as a member of the global Eviden Executives team.
- Secured new market recognitions for team achievements, including:
- ISG Leader Ratings in multiple Cloud Services categories (Azure, Microsoft 365, SAP, AWS)
- Industry Awards such as Best Innovative Project 2023 (Red Hat) and Project of the Year (Ionos)
- Global Recognition as Challenger in Public Cloud (Gartner)
Ralph N.
Last position:
AI Lead Engineer Car Configurator for leading German premium manufacturer at e-ntegration GmbH
- Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
- Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
- Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools
Discover over 15,000 top freelancers
Statistics of experts using Amazon Web Services
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 17 years)

Position duration
2 years (Germany: 2.9 years)

Positions per freelancer
9 (Germany: 11)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Automotive, Banking and Finance

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
78% (Germany: 59%)
Doctorate
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg 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.
Discover detailed Amazon Web Services rate benchmarks:
Explore rate insightsAverage rates of experts in Nuremberg 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon Web Services 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 (96%)
- Automotive (46%)
- Banking and Finance (46%)
- Manufacturing (38%)
- Education (31%)
- Transportation (31%)
- Professional Services (31%)
- Retail (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud foundation
Amazon Web Services, commonly called AWS, is a cloud computing ecosystem for running applications, data platforms and business systems. Companies use services such as EC2, S3, RDS, Lambda and VPC to provision infrastructure without owning physical data centres. Experts select the right services, define a sound architecture and connect them into a reliable operating model.
What teams build
AWS supports customer-facing products and internal systems across many industries. Typical delivery areas include:
- Web and mobile backends with scalable compute and managed databases
- Data lakes, analytics pipelines and machine learning workloads
- Serverless applications using Lambda, API Gateway and event services
- Container platforms with Amazon ECS or Amazon EKS
- Disaster recovery, backup and multi-region availability designs
Ecosystem and tooling
Strong AWS work combines cloud services with infrastructure, application and security tooling. Professionals often use Terraform, AWS CloudFormation, AWS CDK, Docker, Kubernetes, GitHub Actions and GitLab CI/CD. They also work with IAM, CloudWatch, CloudTrail, Route 53, CloudFront, SQS, SNS and managed observability solutions.
When expertise matters
Companies bring in freelance AWS specialists during migrations, platform rebuilds and periods of rapid product growth. They can assess an existing estate, replace manual infrastructure, improve deployment workflows or prepare a system for stricter security and availability needs. In Nuremberg, remote collaboration can support regional teams while on-site workshops help with discovery, stakeholder alignment and knowledge transfer.
Signs you need support
A focused expert can make a difference when cloud work has become difficult to control. Common signals include:
- Rising AWS spend without clear ownership or allocation
- Deployments that depend on manual console changes
- Weak access boundaries, incomplete audit trails or unclear security controls
- Slow releases caused by fragile infrastructure dependencies
- A migration plan that lacks realistic sequencing and rollback options
What good looks like
The strongest AWS professionals connect technical choices to business needs. They document trade-offs, use least-privilege access, automate repeatable changes and design for failure rather than assuming every service will remain available. They also explain costs, operational responsibilities and recovery procedures clearly, leaving a maintainable system and useful documentation behind.
Frequently asked questions
Quick answers to the questions that come up most around Amazon Web Services.
Amazon Web Services is used to host applications, store data, run databases, process events and operate analytics or machine learning workloads. AWS also provides networking, identity, monitoring, security and deployment services, so experts can manage much of a system through one cloud ecosystem.
AWS offers a broad service catalogue and mature options for compute, storage, networking and managed operations. Azure may fit organisations closely tied to Microsoft identity and business tools, while Google Cloud is often considered for data and machine learning strengths. The right choice depends on existing skills, compliance needs, architecture and migration effort.
A capable AWS specialist usually combines cloud knowledge with networking, Linux, security and infrastructure as code. Experience with Terraform or CloudFormation, containers, CI/CD, observability and database operations is valuable because production systems rarely rely on AWS services alone.
The required depth depends on the system and its risk. A contained workload may need a professional who can configure services and automate deployments, while a migration or regulated production platform calls for deeper architecture, security, resilience and incident-response expertise. Define the decisions the freelancer must own before assessing profiles.
Yes. AWS work is well suited to remote collaboration through shared repositories, tickets, cloud accounts and documented infrastructure. Nuremberg teams may still prefer occasional on-site sessions for architecture workshops or handover, while clear communication in English or German should be agreed at the start.
Use separate accounts or environments, least-privilege IAM roles and controlled approval paths. A strong AWS professional should work with temporary access where possible, enable audit logging and document every infrastructure change. Access should be removed promptly when the engagement ends.
Ask the specialist to explain architecture decisions, failure scenarios, deployment controls and recovery steps in plain language. Review infrastructure as code, monitoring, security boundaries and documentation rather than focusing only on whether the application runs. Good AWS work is reproducible, observable and maintainable.
Amazon Web Services can support rehosting, replatforming, refactoring and hybrid operating models. The best approach depends on application dependencies, data transfer, downtime tolerance, security requirements and the team’s ability to operate the target environment. A freelancer should begin with discovery and a staged migration plan instead of moving systems blindly.
The average hourly rate of freelancers in Nuremberg, Germany who have used Amazon Web Services in their recent projects is 91 €, which corresponds to a daily rate of about 728 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Amazon Web Services in their recent projects, 100% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Amazon Web Services in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Nuremberg, Germany who have used Amazon Web Services in their recent projects are German (100%), English (100%), and Spanish (12%).
The most common industries among freelancers in Nuremberg, Germany who have used Amazon Web Services in their recent projects are Information Technology (96%), Automotive (46%), and Banking and Finance (46%).
The most common business areas among freelancers in Nuremberg, Germany who have used Amazon Web Services in their recent projects are Information Technology (100%), Product Development (85%), and Quality Assurance (54%).
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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