Amazon DynamoDB Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Amazon DynamoDB
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Anton R.
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Kevin M.
Last position:
Backend & Infrastructure Engineer at Mileo Systems GmbH
- Engineered production-ready Azure environments using Terraform, ensuring consistent infrastructure parity across VNets and Resource Groups
- Implemented Microsoft Fabric tenant and workspace architecture for multi-stage Medallion data processing pipelines
- Designed secure data pathways using Managed Private Endpoints for isolated Azure Storage access
- Managed Service Principals and authentication tokens for secure REST API integrations
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Philip I.
Last position:
Frontend/E-Commerce at Burda Solutions
- Further development of the Cyberport/Computerunivserse online shop with React, Next.js and SAP Commerce.
Discover over 15,000 top freelancers
Statistics of experts using Amazon DynamoDB
Aggregated from the professional profiles of matched freelancers.
Experience
11 years (Germany: 17 years)
Position duration
1.8 years (Germany: 2.1 years)
Positions per freelancer
7 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Advertising, Education
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
20% (Germany: 52%)
Doctorate
20% (Germany: 9%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100%
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 Frankfurt 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 Frankfurt using Amazon DynamoDB
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 DynamoDB 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 (86%)
- Advertising (43%)
- Education (43%)
- Healthcare (43%)
- Manufacturing (43%)
- Professional Services (43%)
- Transportation (29%)
- Media and Entertainment (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What DynamoDB is
Amazon DynamoDB is a fully managed NoSQL database service for applications that need predictable performance, high availability and flexible scaling. It stores data as items in tables and supports key-value and document models. Teams use it for web and mobile backends, commerce, gaming, connected products and event-driven services.
Data modelling
Effective DynamoDB work starts with access patterns rather than relational normalization. Specialists design partition keys, sort keys, secondary indexes and item collections around the queries an application must serve. They also plan capacity modes, consistency choices, pagination, conditional writes and transaction boundaries to keep data access reliable.
AWS ecosystem
DynamoDB commonly works alongside services across the AWS ecosystem:
- AWS Lambda, API Gateway and AppSync for serverless APIs
- DynamoDB Streams, EventBridge and SQS for event processing
- IAM, CloudWatch and X-Ray for security and observability
- CloudFormation, CDK, Terraform and application deployment pipelines
When expertise matters
Companies bring in freelance specialists when a new service needs a data model that will remain efficient as traffic and features grow. They also help when a relational workload is being reconsidered, when hot partitions appear, or when an existing table has become difficult to evolve. Frankfurt teams can combine on-site workshops with remote delivery, depending on security and collaboration needs.
Typical deliverables
A project may include a DynamoDB table design, migration plan, SDK integration or production hardening. Strong professionals can deliver infrastructure as code, access-pattern documentation, test data, monitoring dashboards and runbooks. They understand how application code, deployment configuration and database behaviour affect one another.
Choosing a specialist
Look for evidence of production work with partition-key design, indexes, Streams and failure handling, not just familiarity with the AWS console. A capable professional explains trade-offs between DynamoDB and relational services such as Amazon Aurora or RDS, and can justify consistency, cost and operational choices. They should also communicate clearly with product, application and security teams, in English or German when needed.
Frequently asked questions
Quick answers to the questions that come up most around Amazon DynamoDB.
Amazon DynamoDB is used for applications that need fast, predictable access to key-value or document data without managing database servers. Common examples include shopping carts, user profiles, session stores, IoT workloads, gaming data, event metadata and APIs built with AWS serverless services.
DynamoDB is designed around known access patterns, partition keys and horizontal scaling, while relational databases are built around tables, joins and flexible SQL queries. A specialist can assess whether DynamoDB, Amazon Aurora, Amazon RDS or a combination is the better fit for the workload.
A strong Amazon DynamoDB specialist usually understands AWS IAM, Lambda, API Gateway, Streams, CloudWatch and infrastructure as code. Experience with an AWS SDK, event-driven design, application observability and data migration is also valuable.
The right level depends on the scope, risk and existing AWS setup. A straightforward integration may need focused database and SDK knowledge, while a migration or high-volume redesign calls for a professional who has handled partitioning, capacity behaviour, consistency, recovery and production incidents.
Yes. DynamoDB work is often well suited to remote collaboration because design sessions, code reviews, infrastructure changes and monitoring can be handled online. Frankfurt companies may still prefer on-site workshops for architecture decisions, access reviews or close coordination with local teams.
Ask the specialist to explain an access-pattern model, the reasoning behind its keys and indexes, and how failure cases are handled. A high-quality DynamoDB professional can discuss hot partitions, conditional writes, retries, observability and trade-offs without relying on vague claims.
DynamoDB can be suitable when the workload has stable, well-understood access patterns and benefits from managed horizontal scaling. It is not a direct SQL replacement, so a specialist should first map queries, relationships, transaction needs and reporting requirements before recommending a migration.
Professionals working with DynamoDB should be ready to explain modelling decisions in terms of application access patterns rather than familiar relational structures. They may also need to collaborate on Lambda code, deployment pipelines, security policies, data migrations and operational documentation.
The average hourly rate of freelancers in Frankfurt, Germany who have used Amazon DynamoDB in their recent projects is 90 €, which corresponds to a daily rate of about 720 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Amazon DynamoDB in their recent projects, 100% hold at least a Bachelor's degree, 20% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Amazon DynamoDB in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Amazon DynamoDB in their recent projects are German (100%), English (100%), and French (14%).
The most common industries among freelancers in Frankfurt, Germany who have used Amazon DynamoDB in their recent projects are Information Technology (86%), Advertising (43%), and Education (43%).
The most common business areas among freelancers in Frankfurt, Germany who have used Amazon DynamoDB in their recent projects are Information Technology (100%), Product Development (86%), and Business Intelligence (57%).
Main locations of FRATCH Experts, who have recently used Amazon DynamoDB
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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Hamburg 
Munich 
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