Microsoft Certified: Azure Fundamentals (AZ-900)

As a freelance IT lecturer and IT coach, I specialize in teaching individuals concepts like Cloud Computing, Business Intelligence, Python Programming and Agile Frameworks. My goal is to simplify complex technical concepts into practical, actionable knowledge. Through my extensive experience as an IT consultant in various sectors and roles I know about the importance of IT training - for companies and employees alike.

• Project for Deutsche Bahn
• Analysis of the current project documents and enhancement of the test concept
• Preparation of checklists for requirements analysis regarding testability and test case review
• Preparation of onboarding documents for new team members
• Participation in presentations and involvement in decisions regarding the hiring of new team members
• Leading the test team with members in Romania, Spain and Germany
• Allocation and supervision of test tasks for my team members
• Definition of the documentation tool to be introduced in consultation with the project manager
• Preparation of a concept for introducing automated tests, including the definition of the test tool
• Hands-on test case creation, execution and reporting
• Participation in management meetings at various levels and taking on tasks for the test team
• Preparation of detailed documentation
• Tools used: TestConductor, Testona (CTE), VectorCast, Parallel, Ubuntu, Visual Studio Code, Google Cloud, IBM ELM landscape, CENELEC, etc

• Delivered multi-year, global consulting projects on strategy execution, digital transformation, and operating model optimisation for a DAX40 client.
• Acted as a key interface between business, technology, and delivery teams, coordinating the cloud migration of 57+ applications and ensuring controlled execution across regions.
• Structured complex problem statements, formulated hypotheses, and converted insights into clear strategic and operational recommendations.
• Facilitated workshops, developed executive-level presentations, and shared results with senior stakeholders and steering committees.
• Undertook initial leadership responsibilities, mentoring junior colleagues and contributing to knowledge sharing and internal offerings.
• Implemented structured project governance, tracking milestones, risks, and KPIs to ensure alignment with strategic objectives and timely delivery.
• Supported stakeholder decision-making through performance dashboards, progress reporting, and coordination across cross-functional teams.

• Close collaboration with development teams to ensure alignment with project goals
• Assessment of in-scope assets, requirements definition and support of the public tender process up to vendor selection
• Creation and maintenance of UML sequence diagrams to document system interactions
• Intensive use of Agile/Scrum methodology and the Spotify model
• Development and implementation of cutover and rehearsal plans together with the application managers

• 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.

• Newly developed an ASP.NET web application for mortgage financing
• Maintained and enhanced it both functionally and technically (expanded to other loan types, connected to various services, developed custom web services)
• Analyzed business requirements in close cooperation with business units
• Created IT concepts and technical documentation
• Developed backend and frontend
• Designed and implemented automated build, deployment, and testing processes
• Created scripts to automatically generate data access layers (C# classes and SQL scripts) and integrated them into build and deployment processes
• Languages: C#, PowerShell, JavaScript
• Technologies: ASP.NET, Windows Forms, XML Web Services, Windows Services, MS SQL Server, Entity Framework, unit testing, automated build, deployment, and testing processes
• Tools: Visual Studio 2005–2015, Team Foundation Server, DevExpress, Rational ClearCase, Rational ClearQuest, CruiseControl.net