Find the right AWS Certified Cloud Practitioner expert in Berlin in minutes from over 15,000 CVs with the power of AI
AWS Certified Cloud Practitioner holders understand core AWS services, cloud concepts, security basics, billing models, and shared responsibility. They are a strong fit for early cloud projects, stakeholder training, and first-step migration work. Get fast, precise matching with vetted freelancers in Berlin.
About the certification
What it proves
AWS Certified Cloud Practitioner, often shortened to AWS CCP, is the entry-level AWS certification for cloud fluency. It shows that a person can explain the AWS cloud, recognize the main service groups, and talk clearly about security, pricing, and operational basics. For companies, it signals a freelancer who can join early-stage cloud work without needing a long technical ramp-up.
Core knowledge
- Basic AWS cloud concepts and shared responsibility
- Core services such as compute, storage, networking, and databases at a high level
- Security, identity, access control, and compliance basics
- Pricing models, billing terms, and cost awareness
- Support plans, architecture principles, and the AWS global infrastructure
Typical profiles
This certification is common among junior cloud professionals, project coordinators, sales engineers, consultants, analysts, and technical team members who need a broad AWS overview. It is also useful for freelancers who support discovery workshops, cloud onboarding, or internal enablement. In Berlin, it can be a strong signal for international teams that need clear English communication and practical cloud vocabulary.
Where it helps
AWS Certified Cloud Practitioner freelancers are useful when a company is starting cloud work and needs someone who can speak the language of AWS without overcomplicating it. They fit well in:
- Cloud awareness sessions and stakeholder briefings
- Initial migration planning and service selection
- Cost and usage discussions with non-specialists
- Support for product, operations, or procurement teams
What it does not mean
The certification does not prove deep hands-on engineering skill or advanced solution design. It does not replace specialist AWS credentials for architecture, security, data, or DevOps work. It does show that the freelancer can handle the basics correctly, which helps reduce miscommunication in mixed technical and business teams.
How to read the profile
When you see AWS Certified Cloud Practitioner on a profile, look for people who can explain AWS simply, understand trade-offs, and work well with both technical and non-technical colleagues. For Berlin-based work, that is especially useful when part of the collaboration happens on site and part remote, or when an international team needs a clear point of contact for cloud fundamentals. It is a practical credential, and it fits first-step AWS projects, internal enablement, and vendor conversations.
Meet FRATCH AWS Certified Cloud Practitioner
Marina Kornilova
Software Developer | C# | AWS Cloud
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
Data Engineer
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.
Alexander Vitanyi
Product Owner
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
Jan Krol
Data Expert
Last position:
Data Expert at Manufacturing
Enrico Goerlitz
Data & AI Engineering | Backend Software Development
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Sai Vedula
Technical Product Owner
Last position:
Technical Product Owner at Freelancer
- Worked with multiple clients on short- and mid-term engagements, leading the delivery of data-driven SaaS and analytics solutions.
- Coached and supported cross-functional teams with a strong focus on execution, working closely with senior and C-level stakeholders through regular alignment and decision-making.
- Focused on automating data workflows, integrating backend systems, and turning technical requirements into scalable product outcomes.
- Led delivery of automated data capabilities across client platforms, streamlining customer data integration and reducing manual processing by up to 60% within 6 months.
- Translated and aligned technical and business requirements for Shipzero into prioritized user stories, accelerating delivery and enabling ~€450K in annualized cost savings.
Can Kocyigit
DevOps Specialist
Last position:
DevOps Specialist at Eviden Germany GmbH
Manage the development release and update process for a digitized nationwide trade register project "AuRegis".
Support software in Kubernetes/OpenShift environments, configure management with Kustomize, and implement CI/CD pipelines using Jenkins/GitLab, SonarQube, ArgoCD, and Azure.
Oversee system release of microservice architecture.
Craft the CI/CD stack from scratch using GitLab CI, integrating integration tests, dependency checks, and security measures.
Automate deployment onto OpenShift using Kustomize.
Establish infrastructure components for development, code review, and code quality analysis, including SonarQube.
Integrate GitOps tools such as Kustomize and ArgoCD, leveraging both Azure and private cloud for sensitive data handling.
Develop Python scripts in Jenkins for cryptostore configuration and system packaging of products and microservices into deployable units.
Automate delivery to customers and deployment on test systems.
Write Kustomize manifests for microservices and develop accompanying automation, treating documentation as code for clarity and reproducibility.
Serve as technical advisor for the project's first go-live and oversee further deployments as technical rollout manager.
Rabih Askar
Senior Consultant / Founder
Last position:
Senior Consultant / Founder at VisionRelic (LTD)
Ursula Raab
Sabbatical with professional development
Last position:
Sabbatical with professional development at Own sabbatical
Recep Can
Sr. Software Engineer
Last position:
Sr. Software Engineer at Endava
- Designed and deployed scalable REST APIs for enterprise clients
- Led migration of legacy systems to modern maintainable system, reducing deployment time and enabling daily deployments
- Mentored junior developers and collaborated cross-functionally to align technical roadmaps with business goals, improving team velocity by 50%.
- Tech Stack: PHP (Symfony), Golang, PostgreSQL, MySQL, GCP, Terraform, Kubernetes
Maciej Tatarek
Independent Contractor
Last position:
Independent Contractor at Tatarek Development GmbH
- Offer AI consulting, architecture design, and application development services to businesses, delivering tailored solutions aligned with their unique needs and goals.
- Specialize in enhancing information access through custom internal knowledge management and customer service solutions.
- Develop scalable conversational text and voice assistants and copilots for seamless interactions.
- Build and optimize MLOps and information extraction pipelines for efficient AI deployment.
- Tech: Python • Javascript • LLM
Discover over 15,000 top freelancers
AWS Certified Cloud Practitioner statistics
Typical experience
14 years
Average project duration
2.3 years
Certifications per freelancer
5
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Healthcare, Transportation
Most common languages
English, German, French
Bachelor's degree or higher
90%
Master's degree or higher
30%
Salary / 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. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for AWS Certified Cloud Practitioner & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Questions in mind? Get key insights about FRATCH
AWS Certified Cloud Practitioner shows that the holder understands AWS cloud concepts at a broad level. It covers the main service families, security basics, pricing, support, and the shared responsibility model. For a company, that means the freelancer can discuss AWS clearly and support early cloud decisions without confusion.
No. AWS CCP is an introductory credential, while architect-focused certifications test deeper design and implementation skills. A person with the AWS CCP may be a strong generalist, but you should not treat it as proof of advanced solution architecture or hands-on engineering depth.
The AWS Certified Cloud Practitioner is a good fit for people who work near cloud projects but are not focused on deep technical build work. That includes consultants, analysts, project staff, sales engineers, and freelancers who need a solid AWS foundation. It is also useful for professionals moving toward more specialized AWS roles.
Preparation usually starts with understanding the AWS global infrastructure, core services, shared responsibility, security basics, and billing concepts. Most candidates also review common AWS use cases so they can connect the concepts to real business questions. The AWS CCP is broad rather than deep, so clear terminology matters more than advanced lab work.
There are no formal prerequisites for the AWS Certified Cloud Practitioner. Still, candidates do better if they have some exposure to cloud ideas, even from sales, operations, or project work. It is often the first AWS certification people take before moving on to more specialized paths.
Like other AWS certifications, AWS Certified Cloud Practitioner must be kept current through AWS recertification rules. Holders usually renew by meeting the current AWS requirements rather than relying on the original exam forever. Companies should therefore check that the credential is current when they need recent AWS knowledge.
It matters most in early cloud discovery, internal training, cloud adoption planning, and conversations where business and technical teams need a shared vocabulary. In Berlin, it can be useful for international teams, hybrid collaboration, and client-facing roles where clear AWS basics are expected. It is especially helpful when the work needs good cloud literacy more than specialist engineering depth.
The AWS Certified Cloud Practitioner sits below the associate and professional AWS tracks. It focuses on understanding rather than designing or building complex systems. That makes it a good entry point, but companies should choose a higher AWS certification when the role requires advanced architecture, security, data, or operations skills.
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Philipp Thomaschewski
FRATCH CEO
