AWS Certified Data Analytics – Specialty
in Germany, matched in minutes from over 15,000 CVsConnect with freelancers skilled in data lakes, streaming analytics, data security and large-scale AWS architectures. FRATCH helps you identify vetted, available professionals whose experience fits your project precisely.
Meet FRATCH AWS Certified Data Analytics – Specialty Professionals in Germany
Max R.
Last position:
Senior AI Engineer and Technical Advisor (Freelancer) at dialpad
Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Currently developing MCP-based tooling for AI text and voice agents: agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state. This includes text and voice tests that evaluate agent behavior, latency and task completion.
In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively. This ongoing work covers context management for large codebases, reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.
Technologies: AI Agent Products (Text & Voice Agents, MCP, LLMs, Python, TypeScript), Agent Tooling (Authoring, Integrations, OAuth, Durable State), Quality & Evaluation (Text & Voice Tests, Evals, Regression, Traces), Agentic Engineering (Claude Code, Codex, QualityLayer, Hooks, Prompts), Context Engineering (RAG, Vector Stores, Codebase Embeddings), Software Delivery (CI/CD Integration, Agentic Loops, PR Automation), Enablement & Coaching (Workshops, Hands-On Labs, Pair Programming)
Dmitriy D.
Last position:
Freelance Senior Data Scientist at Merck KgaA
- AWS
- Genedata Profiler
- Data Lake
- APIs
- Rstudio
- GitLab
- Python
- R
- Data acquisition, integration, and simulation
- Multiplex immunofluorescence
- Copy-number variation calling
- HLA typing and loss-of-heterozygosity analysis
- RNA expression analysis
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Banjika N.
Last position:
Freelance | AWS Authorized Instructor at Go Courses
- Delivered AWS-authorized content through AAI program
- Facilitated group and 1-on-1 mentorship sessions
- Coached non-technical learners into cloud career paths
- Created learning materials aligned with AWS Skill Builder and AWS Academy labs
Alexey G.
Last position:
Cloud Architect & DevOps, Head of Architecture at ProSiebenSat.1 Digital GmbH / Seven.One Entertainment Group GmbH
- Co-authored enterprise cloud strategy including security and governance frameworks for 5 subsidiaries, and implemented part of the governance automation.
- Performed regular cloud cost optimization reviews across 10 teams resulting in ~20% cost reduction.
- Led the technology selection for the migration of in-house CIAM for 25M+ accounts to a SaaS solution, and worked with the product team through the migration.
- Supervised the technology selection and designed the architecture and delivery pipelines for the multi-tenant digital news and sports publishing platform, enabling ~250 editors within ~6 months of development start.
- Led the implementation of a multi-brand design system from idea and technical concept to implementation and rollout, enabling rapid UI prototyping for new products in a matter of hours.
- Managed a team of 4 architects and accelerated the professional growth of team members.
- Technologies: AWS cloud, Microservices, Docker, Python, Kafka, JavaScript, TypeScript, React.js, Node.js, GraphQL, REST, Gitlab CI, Visual Studio Code, git.
Biju K.
Last position:
Freelance AI Strategist & Governance Expert at DataSiens Freelancer
- Developed the AI strategy for a major Austrian retailer with over €10 billion in annual revenue.
- Developed a go-to-market strategy for AI services for a Norwegian consulting firm specializing in SAP technologies.
- Delivered AI for Business training programs to a leading German supermarket chain.
- Defined AI governance project structure and roadmap for a large German manufacturer.
- Certified facilitator for AI Design Sprint™, leading use case discovery workshops for large enterprises.
- IEEE Certified AI Ethics Assessor with expertise in building AI governance frameworks aligned with the EU AI Act.
- Founder of aiethicsassessor.com as knowledge base for AI governance and AI legislation.
- Author of a best-selling Udemy course on Data Architecture.
- Developed intelligent agents using low-code/no-code platforms to automate complex business processes.
Discover over 15,000 top freelancers
AWS Certified Data Analytics – Specialty Professionals 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, Business Intelligence, Operations
Top industries
Information Technology, Professional Services, Education
Certification focus areas
Business Intelligence, Information Technology, Operations
Bachelor's degree or higher
100%
Master's degree or higher
80%
Doctorate
20%
Certifications per freelancer
9
Most common languages
German, English, Russian
Speak two or more languages
100%
Based on our profile pool as of 14 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts holding this certification in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates for AWS Certified Data Analytics – Specialty Professionals in Germany
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 14 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AWS Certified Data Analytics – Specialty Professionals 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 (83%)
- Professional Services (67%)
- Education (50%)
- Automotive (33%)
- Healthcare (33%)
- Media and Entertainment (33%)
- Pharmaceutical (33%)
- Retail (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the certification
What the certification covers
AWS Certified Data Analytics – Specialty validates the ability to design, build, secure and operate analytics solutions on Amazon Web Services. It focuses on turning data from varied sources into reliable insights through services for storage, processing, streaming, governance and visualization. The credential was formerly known as AWS Certified Big Data – Specialty, so both names may appear on professional profiles.
Validated capabilities
A holder is expected to understand how AWS analytics components work together and how to choose an approach that fits business, technical and operational requirements.
- Design data lakes and analytics architectures for structured and unstructured data
- Ingest and process batch data and real-time streams
- Select suitable storage, cataloguing and query patterns
- Apply encryption, access control, monitoring and data protection practices
- Improve reliability, performance and cost efficiency across analytics workloads
Knowledge areas
The certification covers Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, Amazon EMR, Amazon Kinesis and related services. It also requires familiarity with data modelling, schema design, orchestration, metadata management, observability and the trade-offs between serverless, managed and cluster-based processing. Strong candidates connect these services rather than treating them as isolated tools.
Typical holders
Professionals with this credential often work as cloud data engineers, data architects, analytics engineers, big data specialists or solution architects. They may have experience migrating warehouses, creating lakehouse foundations, building event-driven pipelines or supporting reporting and machine learning teams. In Germany, companies may use these freelancers for remote delivery or on-site collaboration, with German or English communication depending on the project team.
Project value
This certification is especially relevant when a project depends on dependable data flows and governed access to information.
- Build or modernize an AWS data lake
- Move analytics workloads from legacy platforms to AWS
- Combine streaming and historical data for operational insights
- Improve warehouse performance, pipeline resilience or query access
- Establish controls for sensitive data and regulated business processes
What companies should assess
The credential confirms broad AWS analytics knowledge, but it does not replace evidence of delivery experience. Ask how the freelancer has handled data volume, failure recovery, data quality, security boundaries and stakeholder requirements in comparable environments. Because the specialty exam has been retired, companies should also review the credential’s status and the candidate’s current AWS experience, including newer data engineering qualifications where relevant.
Frequently asked questions
Key details about AWS Certified Data Analytics – Specialty Professionals, drawn from the questions we get asked most.
A freelancer holding the AWS Certified Data Analytics – Specialty has demonstrated knowledge of designing, implementing and operating analytics solutions on AWS. The credential covers data lakes, batch and streaming pipelines, storage, processing, security, governance and performance.
The AWS Certified Data Analytics – Specialty examination has been retired, so candidates cannot pursue it as a new AWS certification. Existing holders may still list the credential while it remains within its stated validity period, and companies should check the status shown on the professional’s AWS certification record.
The AWS Certified Data Analytics – Specialty was formerly called AWS Certified Big Data – Specialty. A freelancer may therefore describe the same credential as AWS Data Analytics Specialty or use the former Big Data name on an older profile.
The AWS Certified Data Analytics – Specialty is suited to data engineers, cloud architects, analytics engineers and big data specialists who design or operate AWS-based data platforms. It is most useful when the role involves several connected analytics services rather than a single reporting tool.
The AWS Certified Data Analytics – Specialty was intended for professionals with practical experience in AWS data and analytics services. Preparation typically involves architecture review, hands-on work with ingestion and processing patterns, security controls, data modelling and troubleshooting; formal prerequisites were not required, but real project experience was important.
The AWS Certified Data Analytics – Specialty focused broadly on analytics architecture and a range of AWS data services. Newer AWS credentials, such as AWS Certified Data Engineer – Associate, place a different emphasis and should be compared with the project’s required level of design depth, operational responsibility and current service knowledge.
A holder of the AWS Certified Data Analytics – Specialty should review the validity information attached to the individual AWS certification record. Since the specialty examination was retired, renewal through that same examination is not available; professionals should follow AWS guidance on relevant current certifications.
The AWS Certified Data Analytics – Specialty is valuable for data lake migrations, streaming platforms, warehouse modernization, operational analytics and governed reporting environments. It can support work in finance, manufacturing, retail, logistics, healthcare and other sectors where reliable, secure data processing matters, including remote and on-site projects in Germany.
The average hourly rate for freelancers with AWS Certified Data Analytics – Specialty Professionals in Germany is 113 €, which corresponds to a daily rate of about 907 € based on an 8-hour working day.
Of the freelancers with AWS Certified Data Analytics – Specialty Professionals in Germany, 100% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers with AWS Certified Data Analytics – Specialty Professionals in Germany 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 Data Analytics – Specialty Professionals in Germany are German (100%), English (100%), and Russian (33%).
The most common industries among freelancers with AWS Certified Data Analytics – Specialty Professionals in Germany are Information Technology (83%), Professional Services (67%), and Education (50%).
The most common business areas among freelancers with AWS Certified Data Analytics – Specialty Professionals in Germany are Information Technology (100%), Business Intelligence (67%), and Operations (67%).
FRATCH AWS Certified Data Analytics – Specialty Professionals 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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