Cloud Migration Experts in Berlin

• Spearheaded the transformation of Telefonica Germany’s cloud journey into a self-service, automated marketplace by leading process analysis and design efforts; facilitated UX/UI collaboration and served as Scrum Master for cross-functional agile teams to ensure timely and quality delivery
• Designed, launched, and managed an enterprise-wide Learning & Development program focused on cloud-native skills, upskilling over 1,500 employees; undertook full vendor management including sourcing, tendering, contract negotiation, and ongoing partnership to ensure curriculum alignment with evolving organizational needs
• Implemented cloud migration processes aligned with corporate compliance and process governance; improved process transparency and audit readiness while reducing operational risks
• Architected and led a cross-divisional communication strategy to enhance organizational engagement; developed multiple channels including newsletters and intranet content, acting as single point of contact for all departmental communications to ensure consistency and alignment

• Situation: Inherited a patchwork of aging proprietary systems accumulated over 20+ years — custom-built shop, pharmacy operations, logistics, and product data management. No standardization, no automation, no modern delivery practices.
• Team: Found a centralistic hero culture with one manager handling more than 20 direct reports. Removed the bottleneck, replaced low performers, brought resistant team members back on track or managed them out. Hired fresh talent that brought new energy and capability.
• Delivery: Unified nine brands into a single platform, improving delivery speed by roughly 10x and eliminating cross-brand inconsistencies. Launched a new mobile app that tripled mobile revenue share within 12 months.
• AI: Implemented AI coding tools across development departments. Continuously working on trainings and knowledge sharing for developers. Delivered analytics and agentic automation for customer care inbound emails, and initiated agentic call automation.
• Operations: Introduced automated build and deployment pipelines, initiated cloud migration, and brought the core pharmacy system onto a maintainable, current foundation.
• Governance: Took back project prioritization from ad-hoc business demands by introducing transparent capacity planning — the biggest “no” enforced and the most impactful change for the organization.

• Building a full-stack e-commerce product using AI-assisted development, deliberately returning to hands-on engineering to validate how AI changes software development workflows and team dynamics.
• Exploring VP Technology, Head of Engineering, and Director of Engineering opportunities where hands-on AI experience meets organisational scaling expertise.
• Open to advisory conversations on AI-augmented engineering teams, technology strategy, platform architecture, and organizational design.
• No registered business. No commercial activity.

• Client: Terex Corporation

• Led the end-to-end delivery of a SAP Supply Chain Management (SCM / TD / SD) ERP programme, covering project initiation, detailed requirements gathering, operating model definition, system design, build, testing, cutover, and global Go Live across Europe, Asia, and North America. Ensured the ERP solution supported key supply chain, manufacturing, and planning operations to enable future business growth.

• Conducted cross-functional workshops with Supply Chain, Procurement, Planning, Manufacturing, and Logistics teams to capture business requirements, define the future operating model, and map end-to-end system design. Consolidated over 150 requirements into structured documentation aligned with SAP standards.

• Shaped solution design and vendor engagement during the early discovery phase, supporting selection of best-fit technology partners and ensuring the system design covered production planning, inventory management, warehousing, logistics, and supply chain forecasting.

• Managed D365 configuration and troubleshooting, ensuring alignment with business processes and resolving integration issues between D365, SAP SCM modules, and surrounding systems.

• Supported Grain data model changes to lead ingestion of planning data into Snowflake and Footprint, enabling enterprise reporting and analytics development.

• Managed scope, timelines, risks, and dependencies across international teams spanning Europe, Asia, and the US, maintaining integrated project plans, issue logs, and executive reporting to drive stakeholder alignment and delivery momentum.

• Enabled the integration of AI-powered demand forecasting tools into supply chain planning processes, improving forecast accuracy, inventory turnover, and operational decision-making across multiple regions.

• Led SIT, UAT, and data migration phases, including design of test scenarios, defect triage management, and coordination of test execution to validate supply chain and manufacturing workflows prior to deployment.

• Delivered detailed cutover planning, business readiness activities, and hypercare support, ensuring a smooth and coordinated Go Live and full operational handover to business teams.

• Supported the company's transition from an on-premise architecture to AWS cloud services, modernizing infrastructure and optimizing operational efficiency.
• Leveraged expertise in automation and software implementation to enhance scalability, reliability and profitability.
• Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors.
• Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention.
• Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization.
• Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines.
• Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools.

• Rebuilding an existing cloud solution with Kubernetes, Terraform, Ansible, Prometheus, Grafana, GitLab, Argo CD and PostgreSQL
• Coordinating and managing external partners and service providers
• Ensuring service delivery on time and on budget with budget responsibility
• Integrating the cloud solution with external public clouds (AWS)
• Setting up and defining processes and workflows in Jira and Confluence
• Product management of software development for automation and self-service in CI/CD DevOps mode
• Agile software development with Kanban and Scrum in various development teams
• Single point of contact for key customers in respective projects
• Creating and aligning the product backlog with stakeholders from sales, architecture, development teams, marketing, management and customers
• Migrating existing customers to the AWS cloud as product owner
• Creating and aligning a product roadmap with internal and external stakeholders

Globally responsible for all aspects of people, culture, and HR business partnering organizational development. As a member of the executive team, I was leading a team of up to 14 dedicated professionals, reporting to the CEO. My role encompassed a comprehensive overhaul of HR infrastructure, including AI adoption and global HR processes, performance management, succession planning, compensation and benefits, organizational design, internal communications and office & event management, alongside fostering cultural development.

• Contributed to a 100% increase in company revenue from €16 million to over €34 million within 2.5 years while strategically growing headcount and revenue per employee by 50%, ensuring alignment with business goals and operational needs.
• Ensured global compliance, especially for the US entity, and set up the Brazilian entity from scratch, including all regulatory and internal frameworks.
• Led EMnify’s transformation to a high-performing, skill-led English organization, increasing employee engagement NPS from -19 to +12 while reducing staff OPEX by over 20%.

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

• Leading architecture and delivery of AI-powered educational content platform, managing two development teams with full technical ownership.

• Designed and architected the Content Hub platform replacing legacy SiteFusion systems, enabling professors to create AI-assisted learning materials for improved student outcomes.

• Established technical strategy, defined architecture requirements, and aligned two cross-functional teams (AI Media Team, TEAQ Team) on a unified delivery roadmap.

• Implemented Clean Architecture principles and AI-agent-friendly documentation standards across the engineering organization.

• Drove adoption of modern development workflows including CI/CD automation and MongoDB-based content management solutions.

• Owning, designing, securing, maintaining reliability of the cloud based platform environments
• Increasing developer productivity and growing the infrastructure team horizontally and vertically to 5 engineers
• Realised infrastructure cost reduction of 50% by utilizing efficient spot instances
• Improved PE developer efficiency by 15% with survey led development process

• Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
• Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
• Kanban team, continuous integration.
• Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.

• German Landesbank in the area of credit risk:
• Design and implementation of a scalable, cloud-native ETL pipeline with Apache Airflow, PySpark and AWS EMR on EKS, including data integration, transformation and production operations
• Support in building and operating a cloud-based SaaS infrastructure on AWS with Helm, Kubernetes, ArgoCD, Grafana and Terraform/Terragrunt
• Use of modern data engineering technologies to develop efficient data pipelines with Git, CI/CD and DevOps practices
• Coordination of technical requirements with business and IT stakeholders in the banking environment
• Specialist service provider for banking regulation & rating procedures in the area of market price risk:
• Development of an analysis and validation platform in Kubernetes (on-premise) to automate calculations with Apache Airflow
• Development of analysis dashboards and evaluations with Python, R and SQL