Don't measure your skills in percentages
Cloud Computing & Hybrid Environments
Extensive experience with Google Cloud Platform (GCP) and hybrid cloud architectures. Proficient in provisioning resources using Terraform and managing configurations with Ansible.
Kafka & Messaging Systems
Expert in architecting and managing Kafka-based integration platforms, including schema registry, connectors, and disaster recovery. Hands-on experience with RabbitMQ, IBM MQ, and asynchronous messaging patterns.
Containerization, Orchestration & Service Mesh
Advanced expertise in Docker and Kubernetes, including building custom Kubernetes Operators in Go for automation. Skilled in multi-cluster management and Kong Service Mesh deployment for improved service visibility.
CI/CD & Automation
Proficient in designing and implementing GitLab CI/CD pipelines for automated builds, testing, and deployments. Strong programming skills in Go, Python, and Java for system orchestration and custom tooling.
API Management & Integration
Experienced in API Management strategies using Kong Gateway, IBM API Connect, and Istio. Skilled in creating scalable RESTful APIs, asynchronous integrations, and enterprise-level system interconnectivity.
Monitoring & Performance Optimization
Skilled in implementing monitoring solutions with Prometheus and Grafana. Proficient in stress testing and performance tuning with JMeter to ensure high system reliability under heavy loads.
Professional milestones
Developed a global standards framework for integration, including RESTful APIs and Kafka-based asynchronous APIs.
Architected a unified integration platform to merge the infrastructure of two organizations.
Defined API Management and Gateway strategies, optimized Kafka architecture, and created a Kubernetes Operator for platform orchestration.
Crafted a migration strategy for an existing Kafka cluster, managing ~2700 schemas, ~200 connectors, and ~1000 topics.
Orchestrated RabbitMQ and Istio integrations, ensuring operational transition and performance.
Designed and configured a high-performance integration platform using Confluent Kafka Community Edition within distributed hybrid cloud environments (GCP).
Implemented disaster recovery with MirrorMaker 2 and developed Go-based Kubernetes Operators.
Utilized Terraform and Ansible for efficient resource provisioning and configuration management.
Collaborated with platform teams to establish Kafka integration best practices for Spring Boot applications.
Successfully rolled out Kong Service Mesh in a multi-cluster/multi-mesh setup for enhanced service management.
Sized and installed a high-availability integration platform with IBM tools (API Connect, DataPower Gateway, MQ).
Developed RESTful APIs and implemented CI/CD pipelines with GitLab.
Led the integration of a central data hub based on MongoDB and API enhancements for non-transactional data.
Executed hundreds of integrations using various protocols and services such as JMS, MQ, SAP OData APIs, and SOAP Web Services.
Conducted stress testing with JMeter to ensure the reliability of the integration platform.
Installed and configured JEE Oracle Service Bus for a large-scale IT transformation project.
Implemented approximately 100 integrations using distributed messaging via WebLogic JMS and SOAP Web Services.
Migrated the OS virtualization layer from VMware to Oracle VM and upgraded to Oracle Service Bus 12c.
Managed the maintenance and optimization of Oracle integration platforms and coordinated business integration requirements.
Developed an integration services management platform based on JSP and implemented service management gateways for SFTP and databases.
Educational journey
Applied Information Technology
2014 - 2018
Studied at Wilhelm Büchner Hochschule, focusing on advanced IT concepts and applied information technologies.
Technical IT Assistant
2011 - 2013
Completed training at Sabine Blindow-Schule, acquiring foundational skills in IT system administration and programming.
Professional Projects
Kafka Integration Platform Migration
Successfully led the migration of a Kafka integration platform hosting ~2700 schemas, ~200 connectors, and ~1000 topics from on-premise to a hybrid cloud environment.
Implemented a disaster recovery mechanism using MirrorMaker 2, ensuring high availability and resilience.
Developed custom Kubernetes Operators in Go to automate Kafka topic and schema management.
Global API Management Framework
Designed and implemented a global API Management framework to unify infrastructure across two large organizations.
Defined best practices and standards for synchronous RESTful APIs and asynchronous Kafka APIs.
Integrated Kong Service Mesh into a multi-cluster/multi-mesh environment, improving API visibility and security.
Cloud-Native Integration Platform
Built a high-performance integration platform on Confluent Kafka Community Edition within a hybrid cloud environment (GCP).
Provisioned and managed infrastructure as code using Terraform and Ansible.
Developed a Go-based external authentication service for AKHQ to enhance security.
Collaborated with application teams to integrate Kafka into Spring Boot applications.
Enterprise Monitoring and Alerting System
Designed a business monitoring solution using Oracle Business Transaction Monitoring to track key performance metrics.
Developed an API services facade for legacy systems, enhancing integration and data flow efficiency.
Conducted stress testing using JMeter to ensure system reliability under heavy load.
Service Management Gateway
Created a service management gateway for SFTP and database services using Python, streamlining data exchange processes.
Integrated the gateway into an Oracle-based ESB, reducing manual interventions and improving reliability.
Coordinated with cross-functional teams to define requirements and ensure seamless deployment.
Kubernetes Operator for Integration Orchestration
Developed a Kubernetes Operator in Go to manage Kafka resources, including user roles, ACLs, and schema registry integration.
Automated provisioning of resources for developers, reducing manual configurations and increasing productivity.
Improved operational visibility with custom metrics and alerts integrated into Prometheus.