AWS Lambda Experts in Hamburg
matched in minutes by AIHire experts who design serverless APIs, event-driven workflows and production-grade AWS integrations with Lambda, API Gateway, EventBridge and Step Functions. FRATCH connects you with precise, fast-matched, vetted and available freelancers.
Meet FRATCH Experts in Hamburg, who have recently used AWS Lambda
Panagiotis T.
Last position:
Senior Data Engineer Consultant at GOLDNER GmbH
- Onboarded and conducted comprehensive documentation and system analysis to assess the existing data infrastructure, facilitating rapid integration and collaboration across functional data teams (modelling, processing, reporting).
- Collaboratively defined the architecture and project structure for a central data pipeline repository, including hierarchical standards, knowledge management strategies, and role-specific responsibilities, enhancing maintainability and onboarding speed.
- Evaluated and validated open-source data routing tools (Airbyte, Apache NiFi, Dragster) for ingest and sync requirements in retail analytics, including local benchmarking and error-state testing.
- Led the design and deployment of Airbyte in Kubernetes, creating customized Helm charts, securing secrets handling, and configuring Ingress with TLS and internal DNS routing, ensuring full API and UI accessibility.
- Troubleshot and resolved Ingress controller issues, iterating through multiple stages of debugging and testing, and documented setup and replication steps for scalable reuse.
- Mapped data models to ARTS standard, supporting schema alignment for ERP and reporting use cases, and coordinated review loops to align future data processing logic.
- Drafted strategic 1-pagers comparing MinIO, Pub/Sub, and routing architectures, providing technical guidance for architectural decisions and investment planning.
- Enabled secure access and authentication mechanisms, including initial evaluation for SAML integration, cluster-level configuration reviews, and service annotation improvements.
Marvin S.
Last position:
Senior Software Engineer at RTL Deutschland
- work in the Developer-Experience team to improve developer experience and tooling for all teams of the RTL+ streaming platform
- development of reusable GitLab CI/CD components to standardize processes and automatically enforce code quality and security gates
- infrastructure automation with Pulumi
- operation and monitoring of GitLab Runners in AWS with Kubernetes
- integration and automation of Renovate in GitLab pipelines for continuous dependency updates
- extension of Backstage as the central developer platform to optimize internal workflows and self-service capabilities
- development of various tools and automations in TypeScript, Go, and Python
Daniel S.
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Thorsten B.
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.
Marc M.
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Semir A.
Last position:
Engineering Manager at Grafana Labs
- I lead a team of 10 engineers across EMEA split into 2 squads (ingest and query), focused on developing the next generation of logging systems.
- Leading the Loki team in Europe, overseeing the logging solutions at Grafana. I manage a diverse team of engineers, ranging from mid-level to principal, ensuring we deliver top-tier results.
- One of our key achievements has been the successful development and launch of ExploreLogs and AdaptiveLogs.
Jürgen B.
Last position:
Software Developer at Inform AG
- Coaching junior developers
- Further development and customer-specific extensions of a standard software product (microservices (DDD) and partly monolith)
- Interface extensions
- Web services
- Test automation
- Design
- Technologies used: Java8, Java17, TypeScript, Python, PostgreSQL, Spring (Integration, Data, Boot), JPA, AWS (Cloud, Lambda, EC2, SQS/SNS), Microservices, Fitnesse/Cucumber, Gitlab
Sven B.
Last position:
Frontend Developer at TQGG
- Reimplementation of the ESN.com online shop with Shopify's Hydrogen and Remix
- Headless CMS Contentful integration via GraphQL
Mark P.
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
Bharathi V.
Last position:
Senior Software Engineer (Individual Contributor) at European XFEL
- Electronic logbook app developed for research centers to maintain their investigations.
- Emphasizes user-driven organization of communication: experiment groups can configure information structure and notifications, while principal investigators maintain full access control.
- Real-time integration with the facility’s metadata catalogue, control system Karabo, and data analysis tool enables the automatic logging of key events, complemented by manual entries as needed.
Christian H.
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
René S.
Last position:
CRM Developer at CiS GmbH
- Developed a greenfield CRM for managing incoming customer requests for a municipal utility provider
- Implemented with PHP/Symfony 5, EasyAdmin, Doctrine ORM and Oracle XE
- Handed over to CiS GmbH after initial groundwork as planned
Sebastian W.
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
Jan L.
Last position:
Senior Developer at #Die.Digitalfabrik GmbH
- Languages: PHP7/8 (Shopware 5 & 6), Vue.js, Docker, Oracle, Apache, MongoDB (NoSQL)
- Infrastructure: ScaleCommerce (e-commerce cluster, container-based)
- Team: 3
- Development methodology: Kanban (Jira/Confluence)
- Planning and development of various client projects in an agency environment
Anurag S.
Last position:
Data Analyst (SME) at Cognizant
- Build data pipelines for raw and curated data layers using AWS S3, Glue, Athena, and Lake Formation
- Establish CI/CD using GitHub Actions or GitLab CI with CodePipeline
- Prototype models into demo APIs packaged with Docker, versioned with Git, added basic tests with pytest, and assist deployments on AWS SageMaker Endpoint
- Perform exploratory data analysis and feature engineering with pandas and PySpark; track experiments in MLflow or Weights and Biases
- Design and execute A/B tests to optimize user engagement and drive data-informed decisions
Discover over 15,000 top freelancers
Statistics of experts using AWS Lambda
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
2 years (Germany: 2.1 years)
Positions per freelancer
15 (Germany: 11)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
64% (Germany: 92%)
Master's degree or higher
36% (Germany: 60%)
Doctorate
9% (Germany: 8%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 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 AWS Lambda
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.
AWS Lambda 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 (100%)
- Banking and Finance (50%)
- Retail (50%)
- Transportation (44%)
- Automotive (38%)
- Media and Entertainment (38%)
- Real Estate (38%)
- Telecommunication (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What AWS Lambda does
AWS Lambda is Amazon Web Services’ event-driven compute service. It runs code without requiring a company to provision or manage servers, making it useful for APIs, background processing, automation and real-time reactions to system events. Teams pay attention to execution design, permissions, scaling and observability rather than server operations.
Where Lambda fits
Lambda commonly supports workloads that start with an HTTP request, file upload, queue message, database change or scheduled event. It can power lightweight microservices, data transformations, notification flows and operational automation. It also works well as part of a wider serverless architecture, rather than as an isolated service.
- Build API backends with Amazon API Gateway
- Process messages from Amazon SQS or Amazon SNS
- React to events with Amazon EventBridge
- Connect workflows through AWS Step Functions
- Transform objects arriving in Amazon S3
Ecosystem and tooling
Strong Lambda work includes the surrounding AWS services and delivery tools. Professionals often use IAM for least-privilege access, CloudWatch for logs and metrics, AWS X-Ray for tracing, and Amazon DynamoDB or Aurora for persistence. Infrastructure as code with AWS CloudFormation, AWS SAM, AWS CDK or Terraform helps teams reproduce environments safely.
When companies need specialists
Companies bring in freelance expertise when an existing serverless system is slow, costly, difficult to debug or hard to release safely. A specialist can shape function boundaries, event contracts, retry behavior, deployment stages and security controls. In Hamburg, local teams can combine on-site workshops with remote implementation when product, operations and compliance stakeholders need close coordination.
- Break apart a monolith without creating fragile event chains
- Improve cold-start behavior and function reliability
- Set up automated testing and deployment pipelines
- Review IAM policies, secrets and network access
- Establish useful logs, alarms and traces
What strong professionals deliver
Good professionals understand both application code and distributed-system behavior. They account for idempotency, timeouts, retries, concurrency limits, dead-letter queues and partial failure. They select suitable runtimes, package dependencies carefully and document how events move through the system, including how it is operated after launch.
Assessing project fit
Before hiring, define the events Lambda must receive, the response-time expectations, data stores involved and the operational ownership after delivery. Ask candidates to explain a comparable architecture, its failure modes and how they tested it. For remote work, clear English documentation and reliable collaboration across Hamburg-based teams matter as much as hands-on AWS skill.
Frequently asked questions
Everything clients usually want to know about AWS Lambda, in one place.
AWS Lambda runs code in response to events without requiring teams to manage servers. Companies use it for API endpoints, file processing, queue consumers, scheduled jobs, automation and event-driven integrations across AWS.
AWS Lambda removes most server and cluster management, which suits short-lived, event-driven workloads with variable demand. Containers or virtual machines offer more control over runtime behavior, long-running processes and networking, so the right choice depends on workload shape and operational needs.
A strong AWS Lambda specialist should understand IAM, API Gateway, EventBridge, SQS, SNS, Step Functions and CloudWatch. Experience with DynamoDB, S3, infrastructure as code, CI/CD and distributed-system testing is also valuable.
The right level depends on risk, integration depth and production scale rather than a fixed number of years. A simple function may need focused implementation skills, while a platform with many event flows benefits from someone who has handled retries, observability, security and operational ownership.
AWS Lambda projects are often well suited to remote collaboration because code, infrastructure and monitoring can be reviewed online. Hamburg teams should still agree on documentation, working hours, incident communication and whether workshops or stakeholder sessions require on-site attendance.
The AWS Lambda runtime ecosystem supports languages such as Python, JavaScript and TypeScript, Java, Go, C# and Ruby, along with custom runtimes. The best choice depends on existing services, dependency needs, startup behavior and the team’s ability to operate the code.
Ask how the proposed AWS Lambda design handles duplicate events, retries, timeouts, permissions, failures and observability. Review infrastructure definitions, tests, deployment controls and documentation rather than judging only whether a function works in a basic demonstration.
AWS Lambda may be a poor fit for workloads that require persistent processes, unusual runtime control, sustained heavy computation or very predictable low-latency behavior. A specialist should explain these trade-offs and compare Lambda with containers, virtual machines or managed services before implementation begins.
The average hourly rate of freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects is 92 €, which corresponds to a daily rate of about 738 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects, 64% hold at least a Bachelor's degree, 36% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects are German (100%), English (100%), and French (13%).
The most common industries among freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects are Information Technology (100%), Banking and Finance (50%), and Retail (50%).
The most common business areas among freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects are Information Technology (100%), Product Development (81%), and Operations (56%).
Main locations of FRATCH Experts, who have recently used AWS Lambda
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 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
