AWS Lambda Experts in Frankfurt
in minutes from over 15,000 CVs with the power of AI.Hire experts who design event-driven functions, wire Lambda to API Gateway and S3, and keep serverless workloads reliable in production. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used AWS Lambda
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Jan Mundo
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Ulm Paunel
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
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
Helge Bredow
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
- Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.
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
Ritika Solanki
Last position:
AWmOpsRtKekEX(CPEliRenIEtN: CInEfoSrs.yDs,aHtaitAarcchhiiEtencetr(gAyW) S)
Global marketing analytics for Hitachi Energy as part of a global data modernization initiative aiming to enhance data retention, historical data availability and provide Eloqua's 2-year retention for remote interaction reporting and analytics.
Analyzed Eloqua's default retention policy and identified risk of data loss for records older than two years.
Designed and implemented historical data preservation strategy by creating transformed tables in the target data platform to archive older data while ensuring data quality dashboards.
Collaborated with the Power BI team to re-point dashboards from raw Eloqua imports to the newly created archival layer.
Leveraged Jira to track and manage data engineering tasks, bugs, and feature requests across Agile sprints; coordinated backlog prioritization and task assignment to align data pipeline development with business needs.
Power BI dashboard optimization:
Worked closely with business stakeholders to assess and understand reporting needs for reverse customer data.
Designed and implemented incremental refresh in Power BI to ensure daily updates without full data reloads.
Collaborated with Azure data engineers to optimize data processing and publication pipelines.
Stakeholder communication & data modeling:
Acted as liaison between Group Data Office and Technology Office to align data modelling standards.
Gathered requirements from data engineering team and participated in weekly status meetings to provide implementation updates and resolve blockers across teams in Germany, Poland, and India.
Documentation & quality assurance:
Prepared end-to-end technical design documentation, data flow diagrams, and Power BI audit guides for future reference.
Participated in UAT sessions with business users to validate data outputs and report accuracy.
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)
Doğan Can Uçar
Last position:
E-Commerce Developer at The Quality Group
Backend development for shops related to the “ESN” and “More Nutrition” shops
Technologies included: PHP, Symfony 6, Bref, AWS (SQS, Lambda), Terraform, Akeneo API
Discover over 15,000 top freelancers
Statistics of experts using AWS Lambda
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 16 years)
Position duration
2 years (Germany: 2.1 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
50% (Germany: 61%)
Certifications per freelancer
4 (Germany: 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 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 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 does
AWS Lambda runs code without managing servers. It fits event-driven services, background jobs, APIs, file processing, and automation on AWS. Teams use it when they want small, isolated pieces of logic that scale with demand.
Common uses
- HTTP endpoints behind API Gateway
- S3, SNS, SQS, and EventBridge triggers
- Data enrichment, ETL steps, and scheduled tasks
- Chatbots, notifications, and workflow automation
- Glue code between AWS services and external APIs
Ecosystem
Strong Lambda work touches IAM, CloudWatch, CloudTrail, DynamoDB, S3, Step Functions, and EventBridge. Experts also know packaging, environment variables, layers, and deployment tools such as the AWS SAM CLI, Serverless Framework, or Terraform. JavaScript, Python, Java, and .NET are common runtime choices.
When to hire
Bring in freelance help when a team needs a new serverless service, a rewrite from long-running services, or a cleanup of slow, costly functions. In Frankfurt, this often matters for finance, logistics, media, and data-heavy products that need tight AWS integration and clear handover.
Strong skills
Good specialists keep functions small, testable, and secure. They control IAM scope, manage retries and dead-letter handling, and design for cold starts, timeouts, and observability. They also document events and dependencies so the code is easy to maintain.
Delivery focus
A solid AWS Lambda engagement ends with working functions, deployment scripts, logs and alarms, and clear ownership of triggers and permissions. The best professionals can collaborate remotely or on-site in Frankfurt, speak plainly about tradeoffs, and align the setup with the rest of the AWS stack.
Frequently asked questions
What clients ask us most about AWS Lambda — answered in short.
AWS Lambda is used for code that should run in response to events instead of staying online all the time. Common examples include API backends, file processing, scheduled jobs, stream handling, and automation between AWS services. It is a good fit when the workload is bursty or broken into small tasks.
AWS Lambda removes server management and works well for event-driven tasks, but it is not the best choice for long-running processes or very custom runtimes. Containers on ECS or EKS give more control over execution, while EC2 suits workloads that need persistent processes or special system access. A strong expert chooses the simplest option that still meets the need.
A useful AWS Lambda specialist should know IAM, CloudWatch, API Gateway, S3, SQS, SNS, EventBridge, and Step Functions. They should also understand one or more runtimes such as Python, Node.js, Java, or .NET, plus deployment tooling like SAM, Serverless Framework, or Terraform. Security and observability matter just as much as code.
A simple AWS Lambda task can be handled by a focused specialist, but production systems need someone who understands retries, permissions, monitoring, and release flow. If the work involves many triggers, multiple AWS accounts, or strict compliance needs, you want a professional who has shipped similar setups before. The risk is usually in the integration, not the function code alone.
If AWS Lambda deployments are hard to debug, permissions are messy, or functions are starting to do too much, external help is usually useful. Other signs are repeated timeout issues, unclear event flows, or a team that needs a clean migration from a monolith or container setup. A specialist can usually spot the weak points quickly.
Yes, AWS Lambda work is often done remotely because the main tasks are code, infrastructure, and cloud configuration. For Frankfurt teams, on-site collaboration can still help at the start when access, architecture, and stakeholder expectations need alignment. Many projects work well with a mix of remote delivery and a few local workshops.
Look for a AWS Lambda professional who talks clearly about event sources, IAM scope, retries, observability, and deployment. Good work is not just a function that runs; it includes safe permissions, useful logs, alarms, rollback options, and readable code. Ask for examples that show production thinking, not only a demo.
Not exactly, but AWS Lambda is the core service many people mean when they say serverless on AWS. Real serverless solutions often combine Lambda with API Gateway, Step Functions, S3, EventBridge, and managed databases. A good specialist knows how those pieces fit together instead of treating Lambda as a standalone tool.
The average hourly rate of freelancers in Frankfurt, 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 Frankfurt, Germany who have used AWS Lambda in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used AWS Lambda in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used AWS Lambda in their recent projects are German (100%), English (100%), and French (10%).
The most common industries among freelancers in Frankfurt, Germany who have used AWS Lambda in their recent projects are Information Technology (90%), Banking and Finance (50%), and Transportation (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used AWS Lambda in their recent projects are Information Technology (100%), Business Intelligence (80%), and Product Development (80%).
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.
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!

Berlin
Hamburg
Munich
Cologne
Stuttgart
Nuremberg