Consul Experts in Germany

Further development of a software solution for managing audit applications and audit notifications according to §106d SGB V for the Association of Statutory Health Insurance Physicians in Hamburg.

• Developed numerous features, optimised performance, refactored code and analysed errors
• Refactored the development container setup
• Optimised the Gitlab-CI build pipeline
• Introduced improvements to the team workflow

• Development and introduction of operations processes
• Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
• Introduction of a workshop on IaC (Infrastructure as Code)
• Technical consulting for the project security concept (ISMS)
• Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
• Hybrid cloud architecture design (on-prem, Hetzner, AWS)
• Analysis and troubleshooting of incidents and system outages
• Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
• Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
• Consulting on Ansible deployments and infrastructure automation
• Consulting on building a scalable system in the cloud (AWS / Azure)
• Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi

Design and implementation of a compact ERP, CRM, accounting, and production-planning platform for a German food manufacturer. The system replaces Rechnung11, self-built Excel sheets, and manual processes for fewer than 10 internal users.

• Designed and implemented the full platform architecture as sole architect and developer.
• Built modules for customer management, B2B order handling, invoicing, production planning, and accounting support.
• Implemented DATEV export, ZUGFeRD/XRechnung e-invoicing, FinTS bank statement synchronization, and GoBD audit trail concepts.
• Used AI-supported workflows for prototyping, test support, and implementation acceleration while retaining full architecture, review, testing strategy, and technical ownership.

Technology: Java 23, Spring Boot 3, Spring Data JPA, Spring Security, Vue 3, TypeScript, PostgreSQL, Flyway, REST, OpenAPI, JWT, TOTP, RBAC, DATEV, FinTS, ZUGFeRD, XRechnung, GoBD, JUnit, Mockito, Testcontainers, Playwright, Docker, GitLab CI/CD

• Onboarded and conducted comprehensive documentation and system analysis to assess the existing data infrastructure, facilitating rapid integration and collaboration across functional data teams (modelling, processing, reporting).
• Collaboratively defined the architecture and project structure for a central data pipeline repository, including hierarchical standards, knowledge management strategies, and role-specific responsibilities, enhancing maintainability and onboarding speed.
• Evaluated and validated open-source data routing tools (Airbyte, Apache NiFi, Dragster) for ingest and sync requirements in retail analytics, including local benchmarking and error-state testing.
• Led the design and deployment of Airbyte in Kubernetes, creating customized Helm charts, securing secrets handling, and configuring Ingress with TLS and internal DNS routing, ensuring full API and UI accessibility.
• Troubleshot and resolved Ingress controller issues, iterating through multiple stages of debugging and testing, and documented setup and replication steps for scalable reuse.
• Mapped data models to ARTS standard, supporting schema alignment for ERP and reporting use cases, and coordinated review loops to align future data processing logic.
• Drafted strategic 1-pagers comparing MinIO, Pub/Sub, and routing architectures, providing technical guidance for architectural decisions and investment planning.
• Enabled secure access and authentication mechanisms, including initial evaluation for SAML integration, cluster-level configuration reviews, and service annotation improvements.

• Understand the customer’s business & technical requirements and translate them into system / technical requirements
• Design and implement Schrodinger’s applications on cloud systems, and experience convincing senior management and senior technical staff of the benefits of their journey with Schrodinger on the cloud
• Provide exceptional technical design and thought leadership, especially around AWS, GCP, and K8s architecture reviews, performance, high availability, cost, and security
• Deep understanding of the Well-Architected pillars and all best practices for building a secure, performant Schrodinger’s applications on the cloud platforms
• Lead technical workshops and advise customers on architectural and strategic IT decisions
• Ensure success in designing, building and migrating applications, software, and services on the cloud platforms
• Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud
• Work with other team members to ensure quality and customer success
• Define the tickets, tasks, and timelines of projects
• Collaborate with account managers to ensure that the projects are executed according to the defined plan and timeline
• Monitor the progress of the projects, identify risks and issues, and take proactive measures to mitigate them
• Lead and inspire cloud architect teams, provide guidance, and make critical decisions
• Facilitate effective communication and collaboration among team members
• Collaborate with Schrodinger’s managers to improve deployment, support, and configuration of Schrodinger’s applications
• Lead weekly standups and define priorities

Further development and modernization of a mature Aspire backend application in the energy utility sector, focusing on new business requirements, testing, legacy code cleanup, and stable backend delivery.

Key Contributions & Results Implemented new business requirements in the context of customer orders, subcontractors, and cross-company backend processes, ensuring consistent workflows across a distributed system landscape. Gradually modernized existing backend components and reduced technical debt through targeted legacy code cleanup, refactoring, and structured code reviews. Improved the testability of business-critical services by expanding automated tests with xUnit, AutoFixture, and clearer validation structures. Supported the further development of workflow automation and integration processes through microservices, messaging, and API-based communication. Took over source code from external companies, systematically assessed code quality, and derived technical improvements for maintainability, stability, and integration. Worked in agile development processes with Jira, Confluence, and Azure DevOps and supported cross-team coordination on architecture, quality, and implementation. Technical Metrics Technologies & Methods C#, .NET, ASP.NET, ASP.NET Core, Aspire, Docker, RabbitMQ, gRPC, REST API, Swagger, Microservices, NServiceBus, AutoMapper, Autofac, xUnit, AutoFixture, FluentValidation, Entity Framework Core, MediatR, Redis, Consul, Serilog, SonarQube, Azure DevOps, Azure Monitor, GitLab, Google Protocol Buffers, IronPDF, Mailjet, Jira, Confluence, Miro, Agile Development, Scrum, Code Reviews, Refactoring, Legacy Code Cleanup, Workflow Automation, Power Grids

Infrastructure, automation, IT security

• Operation and modernization of business-critical Linux infrastructure for a public-sector client: RHEL migrations, Ansible automation, container rollout (since October 2025)
• Project lead for server upgrade from RHEL 7/8 to RHEL 9 in the financial sector: project management, stakeholder communication (May 2024 – Feb. 2025)
• Project support for IT security requirements in the financial sector: gap analyses, solution design with business units (March – May 2025)
• Setup of an IdM solution (FreeIPA/RHEL IdM) for a utility company (AT), including consulting and training (Apr. – Nov. 2023)
• IT infrastructure consulting for a research team: Proxmox, SSO architecture, data sovereignty, and local AI (since Feb. 2026)

• Created internal web application to improve the salary process using a microservice interfacing with MSSQL
• Developed interactive web UI using Microsoft Blazor
• Integrated Azure AD for user authentication
• Designed and implemented roles and permissions in the database
• Developed progress page guiding users through each process step
• Processed bonus calculations by importing Excel files
• Configured email notifications using MSSQL Send Mail
• Tools and technologies: C#, ASP.NET 6, MS-SQL, REST API, Visual Studio 2022, TFS, microservices, Kanban Board, Azure DevOps

• Maintained a SaaS billing platform on AWS as part of the Site Reliability Engineering (SRE) team.
• Played a key role in an AWS cloud migration project, implementing Terraform (IaC), creating CI/CD processes and pipelines, hardening images, upgrading tool versions, and developing scripts.
• Wrote documentation.

AWS Cloud migration:

• Design and implement CI/CD for deploying AWS resources using GitLab CI, Terraform, and GitOps.
• Create and configure DevOps toolchain including Jenkins, Harbor, and Vault.
• Deploy billing application, microservices, and supporting infrastructure services to Nomad clusters.
• Re-designed TLS/mTLS certificate management using Vault and Lambda.

Security (Infrastructure Hardening & Patch Management & Vulnerability Scanning):

• Managed multiple AWS accounts for Consul/Nomad/Traefik clusters (10–20 EC2 instances/account, ASG) and DevOps toolchain accounts (Harbor, Jenkins, Vault).
• Created hardened AMIs via Packer based on CIS benchmarks for Nomad, Jenkins, Harbor, and Vault; deployed using Terraform.
• Integrated Trivy via Harbor plugin for container image scanning.
• Implemented strict AWS VPC security group rules.
• Developed and maintained patching process across environments using Qualys and Wiz.
• Deployed Qualys Cloud Agent to all EC2 instances, tracked CVEs and tested patches in lower environments before rollout.
• Automated patch deployment across all AWS accounts using Terraform and GitLab CI and verified patch compliance via Qualys/Wiz dashboards.

• Remote learning with experts and 636 instructional units.
• Product management bootcamp teaching agile methods and software tools for modern product management in complex software projects.
• User experience (UX) · product management · Figma (software) · user-centered design · Scrum · agile project management · Jira · Confluence · product discovery · backlog management · user experience design (UED) · prototyping · lean thinking · product roadmapping · user stories · Miro collaboration platform · application monitoring tools · performance metrics · lean product management · product design kickoff indicators (KPI) & tracking events · product strategy · business modeling · product vision & goals · product discovery.

• 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.

Projects:

Project: RWE – Development of a company-wide Zero Trust cybersecurity architecture (CITADEL) Role: Senior Enterprise Cybersecurity Architect / Zero Trust Architect Company: RWE AG Description: Concept and implementation of the strategic CITADEL cybersecurity target architecture at RWE, based on the Zero Trust architecture principle and aligned with regulatory requirements such as NIS2, ISO 27001 and company-wide security governance policies. The goal was to build a measurable, auditable and scalable security architecture with a strong focus on Identity Governance, compliance transparency and operational manageability. Responsibilities & Achievements:

• Zero Trust architecture design: Developed a company-wide Zero Trust reference architecture (Identity, Device, Network, Application, Data) including trust zones, control points and enforcement mechanisms according to NIS2.
• Identity & Access Governance (IGA): Designed and introduced IGA governance structures including role models, recertification processes, segregation of duties (SoD) and lifecycle management for identities and access.
• Security governance & KPIs: Defined and implemented security KPIs and metrics to manage Zero Trust maturity, identity risks and compliance at the management level.
• Compliance & reporting: Built standardized compliance reports and dashboards to support internal audits, external assessments and regulatory evidence (e.g. NIS2).
• Architecture & stakeholder alignment: Worked closely with Enterprise Architecture, IT operations and business units to integrate the CITADEL architecture into existing IT and security landscapes.
• Strategic security consulting: Advised programs and projects on Zero Trust compliance, identity centricity and regulatory requirements in the energy and critical infrastructure (KRITIS) environment. Technologies & Methods: Zero Trust Architecture, NIS2, Identity Governance & Administration (IGA), IAM, RBAC, SoD, Entra ID, SailPoint, Zscaler, Terraform / IaC, Policy as Code, security KPIs, compliance reporting, NIST 2.0, ISO 27001, Enterprise Security Architecture, governance frameworks, risk & control management

Project: Scalable AI Workbench Platform on Microsoft Azure Role: Cloud Architect & Engineer Company: Siemens Energy Description: Design, development and operation of a secure, modular cloud infrastructure to support Data Science, Machine Learning and AI applications for various engineering teams at Siemens Energy. Responsibilities & Achievements:

• Cloud architecture: Designed and implemented an Infrastructure-as-Code solution (Terraform) for automated provisioning of Azure resources (Resource Groups, Storage Accounts, Cosmos DB, Application Insights, networking, PostgreSQL Flexible Server, Azure Container Apps, Azure Container Registry).
• Developer portal: Used Backstage with custom frontend and backend plugins (Node.js, TypeScript, React.js, PostgreSQL, Container Apps) to enable self-service and empower developers, data scientists and AI/ML engineers.
• Role-based access control: Implemented Azure RBAC to grant targeted access (e.g. Storage Blob Data Contributor, Reader) to engineering groups (e.g. AI Engineers) for relevant resources.
• Data platform engineering: Built and configured a multi-layered storage landscape (Raw, Curated, Vector data), including automated container creation and access control for advanced analytics and AI workloads.
• DevOps integration: Integrated with Azure DevOps for CI/CD pipelines to automate deployment, monitoring and compliance.
• Security & compliance: Implemented Private Endpoints, network policies and Managed Identities to ensure data protection and regulatory compliance.
• Collaboration: Worked closely with cross-functional teams to align the cloud infrastructure with business and technical requirements and drive digital transformation at Siemens Energy. Technologies: Azure, Terraform, Azure DevOps, Cosmos DB, Application Insights, Azure Storage, Private Endpoints, Azure Synapse, Azure Machine Learning, Azure Entra ID, RBAC, Backstage, Node.js, React.js, PostgreSQL, Python (automation), Git

• Planning and documentation of database architecture and integration with other components provided by other teams and vendors
• Extensive documentation for the architecture, security, access control, encryption, roles and user management, backup and restore, disaster recovery and general operations
• Deployment of database clusters over 2 locations with 2 availability zones each
• Automation of deployment and operations including backup using Ansible
• Hardening of the database and operating system
• Migration of existing stand-alone database systems to cluster setup
• Technologies: PostgreSQL, Patroni, etcd, barman, RedHat Enterprise Linux 9 (RHEL), Ansible, Ansible Automation Platform, TLS, Hashicorp Vault, LUKS

• Consulting on a wide range of open science hardware projects in the fields of electronics, mechatronics, and optoelectronics
• Comprehensive system analysis and DFM optimization of a novel open hardware miniaturized two-photon microscope
• Exchange with scientists from renowned academic institutions to align the customer’s work in the best possible way
• Production coordination with local and international partners for PCB assembly, CNC machining, and optics
• Process analysis for product design, production planning/execution, product lifecycle, and product data management
• Coaching employees from all departments on the requirements that complex technical products place on business processes
• Development of a comprehensive PLM & PDM concept tailored to the needs of development and manufacturing
• Initiating intensive and direct cross-departmental exchange to identify improvement potential
• Planning shopfloor layout improvements with the production team and supporting the implementation process
• Quick onboarding of two new English-speaking colleagues in technical product management and development
• Ad-hoc and in-depth training of employees in the use of software tools such as KiCad or Autodesk Inventor
• Consulting on long-term development into a scalable, even stronger partner for the open science hardware community