n8n Experts in Frankfurt

Felix T.

Quality and Process Manager, Energy Trading – Systems Focus

Last position:

Data Engineering and Power BI at Wesernetz Bremen

Independently built a data platform with cross-system process monitoring.

Designed the Bronze/Silver/Gold architecture and Python-based pipelines for diverse operational sources.
Cleaned, harmonized, and validated data; processed and stored it in Parquet format.
Tracked data history and built business-focused fact and dimension models for traceable reporting.
Automated data delivery with Python and Power Automate (desktop and cloud); used SharePoint for archiving and data access.
Developed the Power BI solution from data preparation through to visualizing process statuses, work progress, and deviations.

Technologies: Python, SQL, Parquet, Power BI, Power Query, Power Automate, SharePoint, Copilot

Kevin G.

AI Strategy & Governance / Freelancer

Bad Vilbel

Last position:

AI Strategy & Governance / Freelancer at Al Gambit

Architect AI strategies and smart business processes for companies implementing AI initiatives.
Focus on pragmatic and trustworthy AI integration delivering tangible operational value.

Anton R.

AI-Engineer

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)

Hong T.

Performance Ads Consultant (Meta)

Last position:

Performance Ads Consultant (Meta) at Agila Hundeversicherung AG

Created D2C conversion funnels using AI lookalike and interest-based targeting.
Optimized creative assets with AI copy and image analysis tools.
Implemented predictive pacing and dynamic budget optimization in Meta Ads.
Increased lead quality by 30% through iterative audience refinement.
Scaled profitable ad sets with automated testing and bid strategies.

Tan P.

DevOps & Fullstack Engineer

Hanau

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 H.

Product Lead

Last position:

Product Lead at GoDEAP.ai

Leading the development of a virtual data scientist platform designed for business professionals, students, and SMEs.

Kevin M.

Freelance Lecturer in Coaching