Amazon DynamoDB Experts in Frankfurt
in minutes with vetted specialists and the power of AI.Hire experts who design DynamoDB data models, build low-latency applications, and tune access patterns, indexes, and scaling for real workloads. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Amazon DynamoDB
Prasad Tilloo
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 Zadeh
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
Kevin Meinon
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 Hußke
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 Krivtsov
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 Iske
Last position:
Frontend/E-Commerce at Burda Solutions
- Further development of the Cyberport/Computerunivserse online shop with React, Next.js and SAP Commerce.
Anton Rösler
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)
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: 53%)
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 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
DynamoDB basics
Amazon DynamoDB is AWS’s managed NoSQL database for applications that need fast reads and writes with low operational overhead. It is used for session data, catalogs, event-driven services, user profiles, and other workloads that must scale without server management.
Core skills
Strong specialists know how to shape items around access patterns, not around tables from a relational world. They work with partition keys, sort keys, GSIs, TTL, Streams, backups, and IAM controls.
- Data modelling for single-table and multi-table designs
- Query and scan strategy for predictable performance
- Index design and hot partition avoidance
- Security, backups, and recovery planning
When to bring in help
Companies usually bring in freelance expertise when a new service needs a clean schema, an existing setup is expensive to run, or latency is drifting under load. In Frankfurt, that often means support for teams running customer-facing systems, internal tools, or cloud-native services across mixed on-site and remote collaboration.
Ecosystem fit
DynamoDB often sits beside Lambda, API Gateway, EventBridge, SQS, Step Functions, and IAM. It also fits well with CloudWatch for monitoring and with DynamoDB Streams when changes must trigger downstream processing.
- Serverless back ends and event-driven workflows
- Caching layers that reduce read pressure
- Search or analytics systems that need clean source data
- Migration work from MySQL, PostgreSQL, or MongoDB when access patterns are clear
What strong specialists deliver
A good Amazon DynamoDB specialist does more than create tables. They validate traffic patterns, remove bottlenecks, reduce overfetching, and keep data models simple enough for teams to maintain. They also document trade-offs so product and platform teams can work with the design.
Hiring signals
You likely need help if your team is debating partition keys, seeing throttling, or adding indexes without a clear reason. Another sign is a schema that grew from quick fixes and now feels hard to change. A strong freelancer can step in, stabilise the design, and leave the team with a clear operating model.
Frequently asked questions
Quick answers to the questions that come up most around Amazon DynamoDB.
Amazon DynamoDB is used for workloads that need fast access and predictable scaling without managing database servers. Teams use it for user state, product catalogs, session storage, event processing, and other application data that is read and written through known access patterns.
DynamoDB is a better fit when the application needs horizontal scale, low-latency access, and a schema shaped around queries rather than joins. PostgreSQL or MySQL can be stronger when the data is highly relational, ad hoc reporting matters, or transactions cross many entities.
AWS DynamoDB works well when the team wants a managed service with tight AWS integration and very clear access patterns. MongoDB is often chosen when document flexibility and richer query shapes matter more, while DynamoDB is stronger when the design can be built around keys and predictable reads.
A strong DynamoDB specialist usually brings AWS IAM, Lambda, API Gateway, CloudWatch, and event-driven design skills. They should also understand data modelling, caching, retries, and how application code uses keys and indexes in practice.
Amazon DynamoDB projects need outside help as soon as the team is unsure about key design, indexing, or access patterns. You do not need a large migration to justify support; even a small service can become hard to change if the model is off from the start.
DynamoDB work is often easy to do remotely because the important tasks are design reviews, code changes, and cloud configuration. In Frankfurt, on-site time can still help when a team wants workshop-style alignment with local stakeholders or cross-functional product groups.
Look for clear explanations of access patterns, partition strategy, and the reasons behind each index. A strong Amazon DynamoDB freelancer can show how the model handles growth, avoids hot keys, and keeps operational complexity low.
The biggest mistakes with AWS DynamoDB are treating it like a relational database, adding indexes without a plan, and ignoring how traffic is distributed across keys. Poor retry handling and weak capacity planning also lead to avoidable throttling and brittle applications.
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 719 € 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.
Berlin 
Hamburg 
Munich 
Cologne Request a free demo
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Philipp Thomaschewski
FRATCH CEO
