Amazon Web Services Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used Amazon Web Services
Oleg Orlov
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 contextual business information.
Development of an AI agent with Function/Tool Calling for secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Build-up of 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, as well as 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
David Onaiyekan
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
Stefan Rösch
Last position:
Business Analyst at Galeria
- Independently managed the POS tender for in-store catering.
- Structured requirements gathering (functional and technical).
- Created a management-ready specification to guide decisions for leadership and IT.
- Market overview of relevant POS providers.
- Close coordination with Galeria's IT and business departments.
Partha Nandi
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.
Michael Fecher
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 Ergovic
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 Duman
Last position:
Co-Founder at tickitaka
- Live ticker SaaS platform for Football and Ice Hockey
Muntaha Shams
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.
Leif Stolberg
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
Si Tran
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 Kolekar
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 Saxena
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
Jasmin Endner
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 Navasardyan
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
Robin Gieck
Last position:
Developer Experience Assessment at NÃœRNBERGER Versicherung
- Analysis of software quality, technical debt, and development processes
- Derivation of sustainable improvements for developer experience, productivity, and system stability
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
1.9 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 30 Aug 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.
Average 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
AWS in practice
Amazon Web Services, often called AWS, is the cloud stack companies use to run apps, data, storage, and delivery on demand. Strong specialists help teams move from fixed infrastructure to flexible services that scale with demand. Typical work includes building new cloud setups, stabilizing existing environments, and reducing manual operations.
Core services
- EC2, ECS, and EKS for compute and container workloads
- S3, EBS, and Glacier for storage and archive needs
- Lambda and Step Functions for event-driven automation
- RDS, DynamoDB, and Aurora for managed data layers
- IAM, KMS, and CloudWatch for access, security, and monitoring
What experts deliver
AWS professionals set up secure accounts, network layouts, backup plans, and release pipelines. They also tune cost, resilience, and observability so teams can ship without losing control. In Nuremberg, companies often want experts who can work with local stakeholders on-site while handling the heavier implementation work remotely.
When to bring in help
Bring in freelance AWS expertise when cloud projects stall, an audit finds gaps, or a migration needs a clean handover. It also helps when teams need a short-term specialist for a launch, a rebuild, or an incident review. Good experts leave behind clear documentation, repeatable automation, and systems your own team can maintain.
Skills that matter
Strong AWS specialists know networking, Linux, security, scripting, and infrastructure as code. They are comfortable with Terraform, CloudFormation, CI/CD, and log analysis, and they understand how to design for failure instead of hoping it never happens. They should explain trade-offs in plain language and make decisions visible.
How quality shows
Good work on Amazon Web Services is easy to operate and hard to break. Look for clear account structure, least-privilege access, tagged resources, sane backups, and monitoring that catches real issues. The best professionals do not just deploy services; they make the whole cloud setup easier to run, change, and trust.
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, host APIs, and automate infrastructure in the cloud. Companies also use AWS for backup, analytics, container platforms, and event-driven systems that need to scale without buying hardware first.
AWS is often chosen for its broad service catalog, mature ecosystem, and deep support for many architecture patterns. Azure can fit Microsoft-heavy environments, while Google Cloud is often discussed for data and Kubernetes-heavy work. The right choice depends on your stack, governance needs, and in-house skills.
A strong Amazon Web Services specialist usually also knows networking, Linux, security, and scripting. Terraform, CloudFormation, CI/CD tools, and basic application architecture are important too because cloud work rarely stops at clicking through the console.
AWS work needs different levels of depth depending on the task. A simple service setup may only need one focused expert, while a migration, security review, or multi-account design calls for broader cloud architecture experience and careful operational judgment.
Most Amazon Web Services tasks can be done remotely because the work is configuration, review, and automation. On-site time in Nuremberg can help at the start of a migration, during stakeholder workshops, or when the team wants direct collaboration on security and operating procedures.
A AWS project often needs outside help when costs drift, deployments are manual, or nobody feels confident touching the setup. Other signs are weak monitoring, unclear ownership, repeated outages, or a migration that has been paused too long.
A strong Amazon Web Services professional can explain why they chose a service, not just name one. Look for clean architecture, security-first thinking, good documentation, and examples of automation that make future changes safer and faster.
Freelancers working with AWS usually need to handle discovery, implementation, handover, and documentation. The best projects give them access to the right people, a clear target architecture, and enough context to make secure decisions without guesswork.
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 1.9 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 (8%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Leipzig 
Dortmund 
Essen 
Bremen 
Dresden 
Hanover Request a free demo
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Philipp Thomaschewski
FRATCH CEO
