AWS Certified Cloud Practitioner
professionals from 15,000 CVs in minutes with the power of AI.Find freelancers who understand core AWS services, shared responsibility, cloud billing basics, security concepts, and the language of cloud projects. Get fast, precise matching with vetted professionals who hold the AWS Certified Cloud Practitioner credential.
Meet FRATCH AWS Certified Cloud Practitioner
Manuel Pasieka
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Mario Mohar
Last position:
Co-Founder and CTO at B2B SaaS Recruiting Platform
Complete build of a B2B SaaS platform for recruitment agencies
- Multi-source job aggregation via ATS APIs
- AI-assisted career page scraping
- Rule-based and AI-assisted matching
- Credit-based monetization model with Stripe integration
- Live in production since July 2026
Tech stack
- NestJS
- React
- PostgreSQL
- pgvector
- Claude AI
- Prisma
Halil Oeztoprak
Last position:
Senior Cloud Operations & DevSecOps Engineer (Azure / Terraform / CI-CD) at KfW Bankengruppe
Regulated environment within a German banking group (approx. 8,500 employees, hybrid cloud strategy).
Responsible for operating, provisioning, and continuously securing business-critical platforms – including a GenAI chat application, a big data/AI platform, and data science workspaces based on Azure Virtual Desktops and VMs. Ownership of Azure DevOps projects for ShaiHulud and React2Shell, as well as BSI alerts – Security Operations improvements across the SDLC.
Deployment responsibility for the GenAI chat application, big data/AI platform (BDAI), and data science workspaces (AVD/VM-based) in the respective landing zones.
Deployment & release management: end-to-end responsibility for deploying portal and service applications across multiple Azure landing zones, including technical approvals, compliance with development team deployment guidelines, and ensuring ITIL-based change and release processes via ServiceNow.
Azure landing zones & network architecture: design, provisioning, and operation of Azure landing zones for 3-tier web applications with enhanced network segmentation, VNet peering, hub-and-spoke architectures, private endpoints, and firewall integration across separate subscriptions and tenants.
Azure DevOps governance & operations: ownership of the Azure DevOps organization, including projects, repositories, and CI/CD pipelines; implementation of governance requirements such as branch policies, approval gates, permission models, and audit-ready operating structures.
Infrastructure as Code (Terraform): design, implementation, and operation of a modular Terraform architecture for standardized cloud infrastructure deployment, including state management, provider versioning, reusability, and policy-as-code approaches.
CI/CD pipeline engineering: design, operation, and optimization of complex YAML-based CI/CD pipelines with multi-stage deployments, template standardization, self-hosted agents, integrated secret management, and automated quality and security checks.
Git migration & platform consolidation: planning and execution of repository and pipeline migration from Azure DevOps to GitLab CI/CD, including automated scripts, full Git history transfer, pipeline porting, and platform consolidation.
Container & platform operations (AKS): operation and security assessment of containerized workloads on Azure Kubernetes Service, centralization of on-premises container registries for ACR.
OpenShift (OCP) security reviews: security assessment of code baselines, build pipelines, and deployment processes for on-premises OpenShift clusters with critical applications, and derivation of specific hardening recommendations.
Shift-left security & DevSecOps transformation: introduction of a company-wide shift-left approach for early security integration in development and deployment processes, enabling developers to perform self-led security checks and sustainably reduce vulnerabilities before production (IDE integrations, pre-commit hooks, local scanners).
Software supply chain security: analysis and mitigation of supply chain risks in NPM- and Yarn-based applications through dependency audits, CI/CD pipeline hardening, token rotation, and restriction of risky build and lifecycle mechanisms.
Frontend & framework security (React / Next.js): security assessment and coordination of critical vulnerability remediation across platform applications and web frameworks, including coordination and complementary technical mitigations with all teams following BSI alerts.
Software composition analysis (SCA): introduction and operation of automated vulnerability scans for container images, pipelines/artifacts, and third-party dependencies, including SBOM exports within CI/CD pipelines.
SAST/DAST integration: design and piloting of static and dynamic application security tests in close collaboration with security architecture and development teams, for continuous improvement of code and runtime security, and establishing operational acceptance tests.
Artifact & registry consolidation: analysis and consolidation of all package and container repositories for service applications and AKS workloads, aiming for a centralized, secured registry strategy with centralized vulnerability scanning and governance.
Dependency-Track & SBOM strategy: advising the compliance board on introducing a central SBOM and vulnerability management platform to increase enterprise-wide dependency transparency and accelerate CVE response capability.
CI/CD pipeline hardening: security analysis and cleanup of the existing pipeline landscape by removing unused pipelines, improving secrets hygiene, implementing least-privilege principles, and isolating build agent environments.
Azure Web Application Firewall (WAF) optimization: analysis and tuning of existing Azure WAF rules (OWASP Top 10 Core Rule Set, DSR/SDC, custom rules) to defend against known vulnerabilities and exploit patterns, including reducing false positives and improving threat detection.
Documentation & stakeholder communication: creating and maintaining technical documentation, runbooks, and architecture overviews in Jira and Confluence, as well as active knowledge transfer between operations, development, security, and compliance stakeholders.
Kevin Fischer
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Cherif Sahraoui
Last position:
DevOps Specialist – SCM & CI Platform at Freelancer
- Designed and developed the architecture of an enterprise SCM/CI platform for Kubernetes-native delivery and GitOps workflows.
- Implemented infrastructure automation and Vault & IAM integration for secure, compliant pipelines.
- Coordinated cross-functional teams to improve DevOps, security, and architecture in release processes.
- Increased platform adoption and developer experience by automating onboarding and artifact pipelines.
Ciro Manno
Last position:
Enterprise Consultant at Freelancing
Independent consulting engagements supporting technology organizations on governance, system integration, and delivery structure.
- Supported technology organizations in strengthening governance, system integration planning, and delivery structure.
- Reviewed BSS/OSS modernization and data migration programs, validating effort estimates and identifying delivery risks.
- Introduced simple reporting and tracking tools to improve coordination across distributed teams.
- Advised on integration planning and governance, helping teams improve delivery structure and stakeholder alignment.
Tezcan Dilshener
Last position:
Solution Architect / Project Manager at German Football Association
- Overall responsibility for the project lifecycle from scope definition to completion
- Close collaboration with platform teams, IT leaders, and external service providers
- Application of SAFe principles and structured sprint work
- Creation of a migration roadmap with clear milestones
- Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
- Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
- Regular status reports and running knowledge transfer sessions
Daniel Petyus
Last position:
Enterprise Architect at SiriusXM
- Reduced annual AWS spend by 30% (~$400k) through DynamoDB rightsizing, ECS workload restructuring and Savings Plan adoption.
- Designed Scala 3 pipelines on AWS Kinesis, Lambda and DynamoDB processing 200k messages/second using cats-effect and fs2; ingested into Databricks for analytics and experimentation.
- Migrated legacy Java 17 Spring Boot services to a functional stack with zero downtime.
- Led a 4-person DevOps squad implementing automated disaster-recovery drills for DynamoDB and Aurora.
Björn Fröhling
Last position:
Mobile Software Developer (Android) at Finnair
Evolved the Android app for Finnair, focusing on architecture quality, release reliability, and smooth production operations. Partnered with customer support and product stakeholders to triage incidents and deliver stable fixes. Implemented MFA and OAuth 2.0 flows to strengthen account security. Accelerated development velocity using GitHub Copilot for code generation, review assistance, and test scaffolding.
Tech & Tools: Android · Kotlin · Jetpack Compose · AndroidX · Room · DataStore · JUnit4 · AndroidX Test · Espresso · Koin · Fastlane · GitHub Actions · AWS CloudWatch · Datadog · GitHub Copilot
David Adebayo
Last position:
AI Trainer at Mindrift
- Evaluated AI-generated responses across programming, business, and general knowledge domains using structured evaluation guidelines.
- Compared and ranked multiple LLM responses for factual accuracy, reasoning quality, and instruction adherence.
- Annotated datasets and produced concise evaluation rationales to improve model quality.
- Identified hallucinations, inconsistencies, and edge cases while maintaining high annotation accuracy.
- Worked with detailed annotation standards to support AI model training and continuous improvement.
Marina Kornilova
Last position:
Independent Software Developer at LILARAUM
- Independently designed, developed, published, and maintained mobile games for iOS and Android.
- Implemented application architecture, gameplay systems, UI, monetization, analytics, and platform integrations.
- Managed the complete release lifecycle, including testing, store publication, production monitoring, and iterative improvements based on analytics.
Lasya Marella
Last position:
Data Engineer at Carelon Global Solutions (Elevance Health)
- Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
- Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
- Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
- Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
- Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
- Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
- Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.
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.
Helge Bredow
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
- Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.
Alexander Vitanyi
Last position:
Product Owner at FI-TS
- Rebuilding an existing cloud solution with Kubernetes, Terraform, Ansible, Prometheus, Grafana, GitLab, Argo CD and PostgreSQL
- Coordinating and managing external partners and service providers
- Ensuring service delivery on time and on budget with budget responsibility
- Integrating the cloud solution with external public clouds (AWS)
- Setting up and defining processes and workflows in Jira and Confluence
- Product management of software development for automation and self-service in CI/CD DevOps mode
- Agile software development with Kanban and Scrum in various development teams
- Single point of contact for key customers in respective projects
- Creating and aligning the product backlog with stakeholders from sales, architecture, development teams, marketing, management and customers
- Migrating existing customers to the AWS cloud as product owner
- Creating and aligning a product roadmap with internal and external stakeholders
Discover over 15,000 top freelancers
AWS Certified Cloud Practitioner statistics
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.3 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
97%
Master's degree or higher
69%
Doctorate
13%
Certifications per freelancer
7
Most common languages
English, German, French
Speak two or more languages
96%
Based on our profile pool as of 21 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers holding this certification 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 for AWS Certified Cloud Practitioner
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 21 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the certification
What it proves
AWS Certified Cloud Practitioner is the entry-level AWS certification for broad cloud literacy. It shows that a person can speak clearly about the AWS Cloud, explain core services, and connect technical choices to business needs. For companies, it is a useful signal that a freelancer can join cloud discussions without a long ramp-up.
Core knowledge
- Cloud concepts and the value of moving workloads to AWS
- Security and the shared responsibility model
- AWS pricing, billing, and account basics
- Core service families such as compute, storage, database, and networking
- Basic architecture ideas, resilience, and operational support
Typical profiles
This certification is common among junior cloud consultants, project coordinators, sales engineers, support staff, analysts, and freelancers who need a solid AWS foundation before taking on deeper technical work. It is also a frequent first step for people moving from general IT, product, or operations roles into cloud delivery.
What it means for buyers
A freelancer with AWS Cloud Practitioner knowledge can help with discovery workshops, cloud onboarding, service comparisons, internal training, and early-stage migration planning. The credential does not replace hands-on architecture or engineering experience, but it does show that the person understands the vocabulary, risks, and trade-offs that shape AWS projects.
When it matters most
It is especially useful in projects where stakeholders need a shared baseline: cloud adoption planning, vendor conversations, proof-of-concept work, and coordination between technical and non-technical teams. In Germany, as in other markets with strong cloud demand, it can be a practical filter when you want clear communication and a reliable AWS starting point.
Preparation and renewal
People usually prepare through official AWS learning material, practice exams, and guided hands-on study of the main service areas. The exam is designed for broad understanding rather than deep implementation detail. Like other AWS certifications, it must be kept current through the issuer’s renewal process.
Frequently asked questions
Everything clients usually want to know about AWS Certified Cloud Practitioner, in one place.
AWS Certified Cloud Practitioner validates broad, foundational knowledge of the AWS Cloud. It covers the main service categories, the shared responsibility model, basic security ideas, billing, and how cloud services support business goals. It is a good sign that someone can discuss AWS clearly, even if the role is not purely technical.
AWS Cloud Practitioner is a foundation-level credential, while architect, developer, and operations certifications go much deeper into design and implementation. It is about cloud literacy and shared understanding, not advanced building or troubleshooting. Companies often use it as a baseline before asking for specialist AWS proof.
The AWS Certified Cloud Practitioner fits freelancers who work near cloud projects but are not focused on deep engineering day to day. That includes analysts, consultants, project leads, pre-sales staff, support professionals, and people starting an AWS career. It is also useful for non-technical stakeholders who need to understand cloud decisions and speak the same language as delivery teams.
A freelancer with AWS Cloud Practitioner knowledge often supports discovery, cloud onboarding, basic training, service selection discussions, and early migration planning. They can help translate business needs into cloud terms and keep teams aligned on concepts and responsibilities. For hands-on architecture or complex implementation, companies usually ask for deeper AWS specialisation as well.
There are no strict formal prerequisites for AWS Certified Cloud Practitioner. Most candidates benefit from some exposure to cloud concepts and basic AWS terminology before they prepare. The exam rewards clear understanding of the platform’s purpose, services, and commercial basics more than deep technical experience.
A practical path for AWS CCP is to study the core AWS service groups, review security and billing concepts, and work through sample questions. Hands-on use of the AWS Console helps, but the exam is still built around broad comprehension. Good preparation focuses on understanding what each service is for and when to choose it.
Like other AWS credentials, AWS Certified Cloud Practitioner is not permanent and must be kept current through the issuer’s renewal process. AWS updates its certification program over time, so holders should check the latest policy before planning recertification. For companies, that means it is worth confirming that the credential is active and current.
AWS Cloud Practitioner matters most wherever teams need a shared cloud baseline: technology, consulting, finance, retail, media, and internal IT transformation. It is especially useful in projects with mixed audiences, where technical and business people need clear, simple AWS communication. In local markets such as Germany, it can help companies identify freelancers who can work comfortably across teams and stakeholders.
The average hourly rate for freelancers with AWS Certified Cloud Practitioner is 97 €, which corresponds to a daily rate of about 777 € based on an 8-hour working day.
Of the freelancers with AWS Certified Cloud Practitioner, 97% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers with AWS Certified Cloud Practitioner have 16 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers with AWS Certified Cloud Practitioner are English (100%), German (80%), and French (16%).
The most common industries among freelancers with AWS Certified Cloud Practitioner are Information Technology (92%), Banking and Finance (51%), and Professional Services (40%).
The most common business areas among freelancers with AWS Certified Cloud Practitioner are Information Technology (100%), Product Development (69%), and Project Management (56%).
FRATCH AWS Certified Cloud Practitioner main locations
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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Philipp Thomaschewski
FRATCH CEO
