Amazon DynamoDB Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used Amazon DynamoDB
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Thorsten Boock
Last position:
Senior Backend Engineer at VTG Rail Europe
traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.
As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.
- Design and implementation of event-driven backend services.
- Migration and replacement of legacy processing pipelines.
- Development of replay / rebuild mechanisms for large event datasets.
- High-throughput asynchronous event processing on SNS / SQS.
- Database and query optimisation for PostgreSQL and DynamoDB.
- Design of scalable read / write models and aggregation pipelines.
- Production troubleshooting and operational support.
- Performance tuning and infrastructure scaling.
- Design and stabilisation of integration and system tests.
- Technical concepts, architecture documentation, and cross-team collaboration.
- Support the further development of existing GitLab CI/CD pipelines
Geofence & Wagon Stay Processing
- Algorithm to detect vehicles within geofences (entry, exit, dwell time).
- Event sourcing with guaranteed chronological order within the affected time window.
- Refactored geofence event and wagon-stay processing logic for performance.
- Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
- Repair and replay tooling for corrupted or inconsistent movement data.
Fleet Metadata & Mileage
- Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
- Scalable mileage aggregation and replay mechanisms.
- Read / write models and optimised queries for high-volume mileage calculations.
Sensor & Telematics Integration
- Integrated telemetry and sensor processing pipelines.
- Snapshot and state-calculation logic for sensor systems.
- APIs and persistence models for wagon sensor data; data-quality improvements.
- Further development of a service using gRPC for intra-service communication.
Movement Segment Processing & Routing
- Migrated services to new movement-segment event streams.
- Built replay and rebuild tooling for segment correction.
- Optimised throughput and reliability for high-volume event processing.
Condition Monitoring & Wagon Analytics
- APIs and backend services for wagon condition monitoring.
- Brake-wear prediction processing and wagon analytics functionality.
- PostgreSQL views and optimised query models for operational dashboards.
Operational Reliability - First Responder
- Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
- Tuned database performance and AWS infrastructure under production load.
- Improved observability, monitoring and operational tooling.
- Supported rollout strategies, monitoring and post-deployment stabilisation.
Mark Plaatsman
Last position:
Full-Stack Software Developer, Product Data Import at Otto (GmbH & Co KG)
- Manage and operate the product data import services for the Otto merchant
- Enhance and maintain the backend systems
- Optimize and maintain AWS infrastructure
- Build a new product data import API
- Design and plan stories and features
- Conduct code reviews to ensure code quality and best practices
- Analyze and fix bugs
- Technologies: Java, Spring Boot, Kafka, AWS, Fargate, Terraform, MongoDB, Mongo Atlas, OpenAPI, GitHub, GitHub Actions, GitHub Copilot, Akhq, Debezium, JUnit, Test Containers, Hexagonal Architecture
Christian Hartmann
Last position:
Software Developer / Lead Developer at dpa (Deutsche Presse Agentur GmbH)
- Contributed to the development of the Rubix editorial system
- Implemented various microservices based on Java, AWS S3, AWS SQS, AWS SNS, and Spring Boot, deployed to AWS ECS and AWS Fargate
- Designed and developed AWS Lambdas using TypeScript
- Used PostgreSQL in an AWS RDS Aurora cluster and AWS DynamoDB
- Implemented continuous deployment with GitLab pipelines
- Built an Infrastructure as Code environment with AWS CDK
- Set up and maintained a monitoring platform using AWS CloudWatch
- Developed various frontend components with Vue.js
- Designed the microservice architecture applying Domain Driven Design and GraphQL interfaces
Johannes Erchen
Last position:
Libri GmbH
- Operation and further development of the inventory system for booksellers (Quimus). It is an in-house development by Libri that is sold to customers as Software as a Service. The software is developed in an agile way by two developer teams (about 5 developers each). The software consists of around 25 Java microservices that mainly communicate via messaging and share a common Angular frontend. The application runs on Kubernetes in AWS.
- Technologies used: Java 17 & 21, Spring Boot 2 & 3, Hibernate, MySQL, Spring Cloud AWS, Lombok, AWS SQS, AWS SNS, AWS RDS, AWS S3, DynamoDB, Kubernetes, Docker, OpenSearch, Hibernate Search, Liquibase, Gradle, Terraform, Helm, GitLab CI, Keycloak OAuth2, TypeScript, Angular
- My focus until December 2023: Connecting additional POS systems to the inventory system. Connecting the data warehouse for report display. Extending existing features (goods receipts, invoicing, item management, ...). Operations and DevOps tasks.
- Focus from January 2024: Extracting the product search from the inventory system into a global service to use in other applications. Integrating the product search into the booksellers' online shops (also run by Libri). Importing and providing digital items in the product search.
Sebastian Wetzel
Last position:
Software Engineer & Consultant at Freelancer
Specialized in event driven microservice architecture in AWS with NodeJS, Typescript and Vue/React/Next in the frontend
Developed a SaaS product in the B2B sector
Used AWS services: DynamoDB, Lambda, SQS, SES, EventBridge, Cognito; Serverless-Framework; Rest-API
Implemented unit tests with Jest and Mocha
Set up CI/CD pipeline with GitHub Actions
Developed a SaaS product for organization management
Worked with AWS Microservice architecture and event driven design
Utilized CDK, NodeJS OpenAI-API, React, Vue
Continued use of DynamoDB, Lambda, SQS, SES, EventBridge, Cognito, Typescript
Maintained CI/CD pipeline with GitHub Actions
Discover over 15,000 top freelancers
Statistics of experts using Amazon DynamoDB
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 17 years)
Position duration
1.8 years (Germany: 2.1 years)
Positions per freelancer
21 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Transportation, Banking and Finance
Bachelor's degree or higher
50% (Germany: 91%)
Master's degree or higher
25% (Germany: 53%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Dutch
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 Hamburg 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 Hamburg 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
Data model
Amazon DynamoDB is a managed NoSQL database for applications that need predictable latency and flexible scale. It fits product catalogs, user profiles, event data, session stores, and IoT workloads. Strong specialists design around access patterns first, not tables second.
Core skills
- Single-table design and partition key planning
- Secondary indexes for alternate queries
- Streams for event-driven workflows
- TTL, capacity modes, and item size control
- Backup, restore, and data lifecycle handling
Ecosystem
DynamoDB usually sits inside an AWS stack with Lambda, API Gateway, EventBridge, S3, and CloudWatch. Experts also work with the AWS SDK, Infrastructure as Code, and observability tools to keep data flows stable. In Hamburg, this often supports commerce, logistics, media, and platform teams that need fast reads and simple operations.
When to hire
Companies bring in freelance DynamoDB specialists when a schema is hard to query, costs rise, or performance becomes uneven under real traffic. They also help during migrations from relational stores, launches of new serverless services, and reviews of live production tables. A good expert can quickly spot hot partitions, missing indexes, and weak data access patterns.
What good looks like
Strong professionals know how to balance read and write access, choose the right partition key, and avoid overloading a single item collection. They can explain trade-offs clearly, write maintainable infrastructure, and work with application specialists, DevOps, and product teams. They also test failure cases and think about backup, recovery, and throughput before problems reach users.
Hamburg collaboration
For Hamburg teams, DynamoDB work is often done remotely, but close collaboration matters when the data model touches local operations or domain rules. Good freelancers can join planning sessions in English or German, review existing AWS environments, and hand over clean documentation. That makes it easier to keep delivery moving across distributed teams.
Frequently asked questions
Curious about Amazon DynamoDB? Here are the answers that come up again and again.
Amazon DynamoDB is used for applications that need fast, predictable access to data without managing a traditional database server. It fits session data, product catalogs, user state, event tracking, and other workloads where access patterns are known in advance. Teams choose it when they want low operational overhead and simple scaling inside AWS.
Amazon DynamoDB is not a direct replacement for PostgreSQL or MySQL. Relational databases are better when you need joins, complex ad hoc queries, or strong relational modeling; DynamoDB works best when reads and writes follow clear access patterns. A good expert can tell you when a hybrid setup makes sense.
A strong DynamoDB specialist understands single-table design, partition key strategy, secondary indexes, and item modeling. They should also know AWS Lambda, IAM, CloudWatch, and the AWS SDK because DynamoDB rarely stands alone. Experience with event-driven design is a clear plus.
Most production Amazon DynamoDB work benefits from someone who has already modeled live data, handled growth, and dealt with performance issues. For a small feature, an expert can move quickly; for a migration or a critical system, you want deeper experience with data access patterns and operational safeguards. The hard part is usually design, not syntax.
Bring in a DynamoDB freelancer when the current model is getting hard to query, costs are hard to control, or the team needs a second opinion before launch. They are also useful during migrations from SQL systems, serverless refactors, and incident reviews. External support helps when you need focused expertise without long ramp-up time.
Yes. Amazon DynamoDB work is often remote because the key tasks are architecture, modeling, and code review rather than physical access. Hamburg teams often mix remote collaboration with a few workshop sessions when domain knowledge or stakeholder alignment matters.
Look for clear reasoning about keys, indexes, and access patterns in DynamoDB. Good experts explain why a design fits your workload, not just how to implement it. You should also see practical thinking about backups, monitoring, and operational limits.
DynamoDB is AWS’s managed NoSQL database service, but people often use the names loosely. If a freelancer says they work with AWS NoSQL, ask whether they mean DynamoDB specifically and whether they have modeled production data with it. Precision matters because the design rules are different from other NoSQL systems.
The average hourly rate of freelancers in Hamburg, Germany who have used Amazon DynamoDB in their recent projects is 96 €, which corresponds to a daily rate of about 765 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Amazon DynamoDB in their recent projects, 50% hold at least a Bachelor's degree and 25% hold at least a Master's degree.
On average, freelancers in Hamburg, Germany who have used Amazon DynamoDB in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Hamburg, Germany who have used Amazon DynamoDB in their recent projects are German (100%), English (100%), and Dutch (17%).
The most common industries among freelancers in Hamburg, Germany who have used Amazon DynamoDB in their recent projects are Information Technology (100%), Transportation (83%), and Banking and Finance (67%).
The most common business areas among freelancers in Hamburg, Germany who have used Amazon DynamoDB in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (67%).
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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Munich 
Cologne 
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Philipp Thomaschewski
FRATCH CEO
