AWS Lambda Experts in Hamburg
matched in minutes from over 15,000 CVs with the power of AIHire experts who build serverless functions, event-driven workflows, and API backends with AWS Lambda, plus the IAM, CloudWatch, and deployment setup that keeps them reliable. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Hamburg, who have recently used AWS Lambda
Panagiotis Tsafaridis
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.
Daniel Sedlack
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
Marc Matt
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
Thorsten Boock
Last position:
Senior Software Engineer at Codegy
- Developing Kotlin/Spring Boot microservices deployed on Kubernetes and AWS Lambda
- Implementing monitoring solutions
- Backend development for Traigo platform (booking/analysis for freight wagons)
- Determining wagon stays in geofences
- Routing of position data
- Forwarding position data and geofence events to clients using ITSS
- Developing and deploying services in both Kubernetes and AWS Lambda environments
- Tech stack: Kotlin, Spring Boot, Kubernetes, AWS Lambda, PostgreSQL, DynamoDB, Protocol Buffers
Sven Busse
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 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
Bharathi Vanganuru
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 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
René Schmidt
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 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
Jan Lüders
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 Singh
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
Daniel Pape
Last position:
Professional Development
Attained AWS Certified Cloud Practitioner certification.
Mastered Rust through self-study, including books, online courses, and open-source contributions.
Developed a serverless web application using AWS (RDS, Lambda, Polly, Amplify) and TypeScript/React/D3, managed infrastructure with CDK.
Continuously stayed updated with industry trends through self-education, webinars, and workshops, exploring Data Mesh and FastAPI.
Jürgen Brardt
Last position:
Software Developer at Inform AG
- Coaching junior developers
- Further development and custom extensions of a standard software (microservices (DDD) and partial monolith)
- Interface extensions
- Web services
- Test automation
- Design
- Used technologies: Java8, Java17, TypeScript, Python, PostgreSQL, Spring (Integration, Data, Boot), JPA, AWS (Cloud, Lambda, EC2, SQS/SNS), Microservices, Fitnesse/Cucumber, Gitlab
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
2.1 years
Positions per freelancer
15 (Germany: 11)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
60% (Germany: 92%)
Master's degree or higher
30% (Germany: 61%)
Doctorate
10% (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 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
AWS Lambda is Amazon’s serverless compute service for running code without managing servers. It fits event-driven tasks, APIs, background jobs, and automation that should start on demand and scale with traffic. Many teams also call it Lambda or AWS serverless functions.
Where it fits
- HTTP endpoints behind API Gateway
- File and message processing from S3 or queues
- Scheduled tasks and operational automation
- Lightweight integration between AWS services
It is common in products that need short-lived logic, quick iteration, and tight AWS integration.
Ecosystem
Strong work around AWS Lambda usually includes IAM, CloudWatch, EventBridge, SQS, SNS, S3, and DynamoDB. Tools such as the AWS SAM, Serverless Framework, or CDK help package, deploy, and version functions. Good specialists know how these parts connect before they write code.
Why companies hire help
Teams bring in freelance specialists when a Lambda setup becomes hard to keep tidy, secure, or stable. Typical reasons include slow cold starts, poor permissions design, messy event flows, or deployment pipelines that are fragile.
Hamburg companies often need remote support for cloud backends, logistics flows, media pipelines, and internal automation, with English or German collaboration depending on the team.
What strong specialists do
- design small, clear functions with the right trigger
- shape logs, alarms, and tracing for real operations
- limit permissions and handle secrets safely
- tune package size, timeouts, and retries
- build deployment patterns that are easy to maintain
Strong professionals think about failure paths, observability, and cost control from the start.
How to judge fit
A good AWS Lambda specialist can explain trade-offs between Lambda and containers, show how they handle retries and idempotency, and describe how they test event payloads. Ask for examples with API Gateway, SQS, Step Functions, or event processing. Clear answers matter more than broad AWS claims.
Frequently asked questions
Everything clients usually want to know about AWS Lambda, in one place.
AWS Lambda is used for code that should run only when an event happens. Common examples are API requests, file uploads, queue messages, scheduled jobs, and small integration tasks between AWS services. It is a strong fit when you want less server management and more event-driven behavior.
A strong Lambda setup is best when work is short, event-based, and easy to split into separate functions. Containers make more sense when the workload is long-running, stateful, or needs more control over the runtime. Many teams use both, but Lambda is often the simpler choice for glue logic and bursty traffic.
AWS Lambda is often paired with API Gateway, EventBridge, SQS, SNS, S3, DynamoDB, CloudWatch, and IAM. These services cover triggers, storage, messaging, monitoring, and access control. A good specialist understands the full event chain, not just the function code.
A strong AWS Lambda specialist usually knows IAM, logging, monitoring, and deployment tooling such as SAM, CDK, or the Serverless Framework. They should also understand event modeling, retries, idempotency, and basic security design. Without those skills, functions tend to work in tests but fail in real use.
A simple Lambda task may only need someone who can write a function and deploy it cleanly. Production work needs more: event design, observability, permission boundaries, failure handling, and cost awareness. The more moving parts around the function, the more important senior judgment becomes.
Yes, AWS Lambda works well for Hamburg teams that want cloud delivery with remote specialists or a mixed local setup. Many projects can be handled fully remote, but it helps if the specialist can align with your product, security, and operations teams in the language they use day to day. On-site time is usually only needed for workshops or sensitive rollout phases.
Look for someone who can explain why they chose AWS Lambda for a task, how they test event payloads, and how they monitor failures in production. Good signs are clear handling of retries, timeouts, IAM scope, and deployment structure. Weak signs are vague AWS talk, oversized functions, and no plan for observability.
The biggest problems with AWS Lambda are oversized functions, unclear triggers, weak error handling, and poor logging. Teams also struggle when they ignore cold starts, overuse permissions, or build hidden dependencies between functions. A good specialist designs for simplicity, traceability, and predictable behavior.
The average hourly rate of freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects is 91 €, which corresponds to a daily rate of about 730 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used AWS Lambda in their recent projects, 60% hold at least a Bachelor's degree, 30% hold at least a Master's degree, and 10% 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 2.1 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 (14%).
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 (79%), and Project Management (57%).
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
