AWS Lambda Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used AWS Lambda
Halil Oeztoprak
Last position:
Senior Cloud Operations & DevSecOps Engineer (Azure / Terraform / CI-CD) at KfW Bankengruppe
Regulated environment within a German banking group (approx. 8,500 employees, hybrid cloud strategy).
Responsible for operating, provisioning, and continuously securing business-critical platforms – including a GenAI chat application, a big data/AI platform, and data science workspaces based on Azure Virtual Desktops and VMs. Ownership of Azure DevOps projects for ShaiHulud and React2Shell, as well as BSI alerts – Security Operations improvements across the SDLC.
Deployment responsibility for the GenAI chat application, big data/AI platform (BDAI), and data science workspaces (AVD/VM-based) in the respective landing zones.
Deployment & release management: end-to-end responsibility for deploying portal and service applications across multiple Azure landing zones, including technical approvals, compliance with development team deployment guidelines, and ensuring ITIL-based change and release processes via ServiceNow.
Azure landing zones & network architecture: design, provisioning, and operation of Azure landing zones for 3-tier web applications with enhanced network segmentation, VNet peering, hub-and-spoke architectures, private endpoints, and firewall integration across separate subscriptions and tenants.
Azure DevOps governance & operations: ownership of the Azure DevOps organization, including projects, repositories, and CI/CD pipelines; implementation of governance requirements such as branch policies, approval gates, permission models, and audit-ready operating structures.
Infrastructure as Code (Terraform): design, implementation, and operation of a modular Terraform architecture for standardized cloud infrastructure deployment, including state management, provider versioning, reusability, and policy-as-code approaches.
CI/CD pipeline engineering: design, operation, and optimization of complex YAML-based CI/CD pipelines with multi-stage deployments, template standardization, self-hosted agents, integrated secret management, and automated quality and security checks.
Git migration & platform consolidation: planning and execution of repository and pipeline migration from Azure DevOps to GitLab CI/CD, including automated scripts, full Git history transfer, pipeline porting, and platform consolidation.
Container & platform operations (AKS): operation and security assessment of containerized workloads on Azure Kubernetes Service, centralization of on-premises container registries for ACR.
OpenShift (OCP) security reviews: security assessment of code baselines, build pipelines, and deployment processes for on-premises OpenShift clusters with critical applications, and derivation of specific hardening recommendations.
Shift-left security & DevSecOps transformation: introduction of a company-wide shift-left approach for early security integration in development and deployment processes, enabling developers to perform self-led security checks and sustainably reduce vulnerabilities before production (IDE integrations, pre-commit hooks, local scanners).
Software supply chain security: analysis and mitigation of supply chain risks in NPM- and Yarn-based applications through dependency audits, CI/CD pipeline hardening, token rotation, and restriction of risky build and lifecycle mechanisms.
Frontend & framework security (React / Next.js): security assessment and coordination of critical vulnerability remediation across platform applications and web frameworks, including coordination and complementary technical mitigations with all teams following BSI alerts.
Software composition analysis (SCA): introduction and operation of automated vulnerability scans for container images, pipelines/artifacts, and third-party dependencies, including SBOM exports within CI/CD pipelines.
SAST/DAST integration: design and piloting of static and dynamic application security tests in close collaboration with security architecture and development teams, for continuous improvement of code and runtime security, and establishing operational acceptance tests.
Artifact & registry consolidation: analysis and consolidation of all package and container repositories for service applications and AKS workloads, aiming for a centralized, secured registry strategy with centralized vulnerability scanning and governance.
Dependency-Track & SBOM strategy: advising the compliance board on introducing a central SBOM and vulnerability management platform to increase enterprise-wide dependency transparency and accelerate CVE response capability.
CI/CD pipeline hardening: security analysis and cleanup of the existing pipeline landscape by removing unused pipelines, improving secrets hygiene, implementing least-privilege principles, and isolating build agent environments.
Azure Web Application Firewall (WAF) optimization: analysis and tuning of existing Azure WAF rules (OWASP Top 10 Core Rule Set, DSR/SDC, custom rules) to defend against known vulnerabilities and exploit patterns, including reducing false positives and improving threat detection.
Documentation & stakeholder communication: creating and maintaining technical documentation, runbooks, and architecture overviews in Jira and Confluence, as well as active knowledge transfer between operations, development, security, and compliance stakeholders.
Banjika Ngo
Last position:
Freelance | AWS Authorized Instructor at Go Courses
- Delivered AWS-authorized content through AAI program
- Facilitated group and 1-on-1 mentorship sessions
- Coached non-technical learners into cloud career paths
- Created learning materials aligned with AWS Skill Builder and AWS Academy labs
André Filip
Last position:
GenAI Product Owner at OW Media Solutions GmbH
- Designed and led the development of an automated short-video generation system.
- Built a scalable AWS backend using Step Functions, Lambda, S3, ECS Fargate, and DynamoDB.
- Developed video rendering with OpenCV and FFMPEG; ensured maintainable Python code.
- Supervised and mentored a Python developer and trained the client in AI workflows.
- Decreased end-to-end production time from hours to minutes.
- Created a modular, extensible architecture designed to support future AI models.
Pappu Prasad
Last position:
Senior Cloud Consultant (AWS Services and Consulting) at devoteam GmbH
- Developed automated ETL pipelines with AWS Glue and Athena to ensure consistent data quality and governance requirements
- Implemented validation, anonymization, and encryption measures for data in compliance with GDPR
- Optimized cloud costs by introducing FinOps practices and increased transparency for business units
- Monitored performance, performed root cause analyses, and ensured adherence to SLAs
- Supported data and solution architects in building scalable data models for ML and analytics scenarios
Souhair El-Rayess
Last position:
Director of Sales at Loick Biowertstoff GmbH
- building a sales network for packaging fillers and granulates domestically and internationally with focus on direct sales of extrusion machines and Biogranulat 100
- managing key accounts
- leading the Farmfill sales department for packaging materials with leadership responsibilities
Allal Kharaz
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Discover over 15,000 top freelancers
Statistics of experts using AWS Lambda
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.8 years (Germany: 2.1 years)
Positions per freelancer
10 (Germany: 11)
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Education, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
83% (Germany: 92%)
Master's degree or higher
67% (Germany: 61%)
Certifications per freelancer
9 (Germany: 3)
Most common languages
German, English, Arabic
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 Cologne 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 Cologne 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
Serverless runtime
AWS Lambda runs code without managing servers. Teams use it for event-driven APIs, background jobs, file processing, and automation across AWS. It fits workloads that need to start on demand and scale with traffic.
Common builds
- HTTP endpoints behind API Gateway
- S3 event handlers for uploads and transforms
- Scheduled tasks for cleanup and sync jobs
- Stream and queue consumers for async work
- Step Functions steps for workflow orchestration
Key skills
Strong AWS Lambda professionals work across the AWS stack and know how to keep functions small, reliable, and easy to operate. They usually bring solid experience with IAM, CloudWatch, packaging, versioning, and safe deployments. They also understand how Lambda behaves with timeouts, retries, cold starts, and concurrency.
Tooling around it
Lambda projects rarely stand alone. They often include EventBridge, SQS, SNS, DynamoDB, API Gateway, CloudFormation or Terraform, and observability tools for logs and traces. Good specialists choose the right trigger, payload shape, and failure handling for each flow.
When to bring in help
Companies bring in freelance experts when a Lambda setup grows beyond a few simple functions. That often means refactoring fragile code, reducing deployment pain, improving security, or connecting more AWS services cleanly. In Cologne, this is common for teams that want on-site workshops in German but can also work remotely with cloud specialists.
What strong experts do
A good AWS Lambda specialist writes code that is easy to test and easy to operate. They separate business logic from AWS glue, keep permissions narrow, and design for retries and idempotency. They also document event contracts so teams can maintain the system without guesswork.
Frequently asked questions
The facts hiring teams ask for most often when it comes to AWS Lambda.
AWS Lambda is used to run small units of code in response to events, such as API calls, file uploads, queue messages, and scheduled tasks. It is a common choice for serverless backends, automation jobs, and lightweight data processing. Teams pick it when they want elastic execution without managing servers.
AWS Lambda removes a lot of infrastructure work, while containers and VMs give more control over runtime and long-running processes. Lambda is a better fit for short, event-driven tasks with clear inputs and outputs. If you need custom system access, persistent workers, or very specific runtime control, a container-based setup may be a better match.
A strong AWS Lambda specialist usually knows IAM, API Gateway, S3, DynamoDB, EventBridge, SQS, and CloudWatch. For many projects, Terraform or CloudFormation is also important for repeatable infrastructure. Good code skills in Node.js, Python, or Java help as well, because Lambda work is rarely just configuration.
Simple functions can be built quickly, but production AWS Lambda work needs more than basic setup knowledge. You want someone who understands retries, timeouts, permissions, logging, and deployment flow. For systems that handle customer traffic or business-critical events, proven production experience matters more than familiarity alone.
AWS Lambda works well for both. Many teams use it behind API Gateway for HTTP endpoints, and others use it for async workers, cron-style tasks, and event processing. The right choice depends on latency, traffic pattern, and how much runtime control the service needs.
For AWS Lambda projects in Cologne, remote work is often practical because most tasks happen in code, AWS consoles, and IaC files. On-site time helps when the team wants design workshops, security reviews, or close coordination with German-speaking stakeholders. Clear access to logs, repositories, and cloud accounts matters more than being in the same room.
Frequent timeouts, unclear logs, duplicate processing, and broad IAM permissions are common warning signs in AWS Lambda systems. Another sign is when every function handles business logic, deployment details, and AWS integration all at once. That usually means the code should be split and the event design should be cleaned up.
Look for someone who can explain event flow, failure handling, and deployment choices in plain language. A good AWS Lambda professional leaves behind clean function boundaries, sensible monitoring, and documented contracts between services. If they also think about idempotency, security, and maintainability, that is a strong sign of quality.
The average hourly rate of freelancers in Cologne, Germany who have used AWS Lambda in their recent projects is 100 €, which corresponds to a daily rate of about 802 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used AWS Lambda in their recent projects, 83% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used AWS Lambda in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Cologne, Germany who have used AWS Lambda in their recent projects are German (100%), English (100%), and Arabic (33%).
The most common industries among freelancers in Cologne, Germany who have used AWS Lambda in their recent projects are Information Technology (83%), Education (67%), and Professional Services (67%).
The most common business areas among freelancers in Cologne, Germany who have used AWS Lambda in their recent projects are Information Technology (83%), Operations (83%), and Product Development (67%).
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.
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