Multi-Tenancy Experts in Munich

• Managed the successful overall Trial and Commercial deployment of OpenRAN technology and swap-out of legacy SRAN for 2 mobile network operators in Germany.
• End-to-End Project life cycle governance and coordination of multiple Workstream leads i.e. Operations, Performance, Site Solution Management, Design, SW Delivery, Integration & Implementation, OSS Tools, 3rd-party Resource Support.
• Project planning to cover major milestones by delivering roadmap alignment in compliance with the German Network Regulatory Agency (BNetzA), as a vendor.
• Provided pre/post-Sales support to the Accounts Team for RfP/RfQ submissions.

• Clarification of project objectives, scope and the target business vision for building the AI-based knowledge database.
• Derivation of the initial architecture and implementation strategy for the Zasterbot chatbot, including separation of the MVP and further development stages.
• Development of a target business vision for building a structured knowledge database and integrating a future chatbot.
• Derivation and prioritization of use cases for information retrieval and provision by the chatbot.
• Modeling of data structures and flows for the effective organization of the knowledge database on the Base44 platform.
• Design and implementation of data models for storing and linking relevant information.
• Development of processes for extracting, analyzing and preparing raw data for the knowledge database.
• Ensuring data consistency and quality as the basis for the future chatbot.
• Planning the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for precise and context-specific answers.
• Implementation of functions for analyzing and displaying data from the knowledge database.
• Use of the Base44 platform with JSON Schema-based entities and a flexible permission concept.
• Implementation of Deno functions for backend logic, event processing and connecting external APIs.
• Integration of OpenAI services for initial data analysis.

• Modernization of a large-scale Java enterprise application*

The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.

Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.

Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence

PROFILE Senior Oracle specialist, consultant and DBA with many years of experience in planning, architecture, installation, migration, operations, performance tuning and troubleshooting of large Oracle database environments. Focus on Oracle Database 19c and enterprise architectures with RAC, Active Data Guard, Golden Gate, Exadata, RMAN and CDB/PDB. Experience in heterogeneous enterprise environments on Linux, AIX, Solaris, HP-UX and Windows, as well as in cloud and migration projects. Over many years, worked as a technical consultant, DBA, architect and project manager for banks, insurers, energy providers, public institutions, industry, automotive and aviation. Combining technical Oracle expertise with operations concepts, migration, project planning, documentation and customer consulting.

ORACLE FOCUS AREAS

• Oracle Database 19c – installation, upgrade, patch/RU management, operations and troubleshooting
• Oracle Database 21c / 23ai / 26ai – knowledge of current Oracle release lines
• Oracle RAC, Active Data Guard, Data Guard, Oracle GoldenGate
• CDB / PDB, multitenant architectures and enterprise database operations
• Oracle Exadata and highly available database environments
• RMAN – backup, restore, recovery, migration and disaster recovery scenarios
• Data Pump (EXPDP / IMPDP), Transportable Tablespaces (TTS) and database-based migrations
• Performance analysis, SQL / PL/SQL, tuning, troubleshooting and capacity planning
• Oracle Enterprise Manager / monitoring and technical operational support
• Oracle Security: Wallet, TDE, Database Vault, VPD / RLS
• Oracle DWH / BI: OBIEE, ODI, OWB and Discoverer
• Oracle Applications / E-Business Suite and Oracle-based application environments

CURRENT PROJECTS

Scope Solutions AG, Basel / CH | 08/2023 – ongoing Oracle Project Management and DBA

• Installation, maintenance and regular upgrades of Oracle database systems with a focus on Oracle 19c.
• Patch and release management including OPatch and Release Updates; operations on RHEL 8.x, SLES 15.x and Windows.
• DBA support for customers in DACH and Europe and support of production, load test and other CDB/PDB environments.
• Technical operating processes and documentation via Confluence; support and service requests via My Oracle Support / Metalink.

Federal Employment Agency, Nuremberg | 04/2022 – 10/2023 Oracle Operations Support / DBA

• Operations and regular upgrades of Oracle-19c database systems on SLES 15.x.
• DBA for around 2,100 PDBs on RAC and Exadata in production, integration, load test and other environments.
• Configuration management via ARS Remedy; workflows and technical documentation via Jira and Confluence.
• Operations support and processing of service requests via My Oracle Support / Metalink.

Federal Statistical Office, Wiesbaden | 09/2021 – 03/2022 Oracle Operations and Architecture – 2022 Survey

• Merging data into a central Oracle-19c database system.
• Design of import/export procedures for the central data structure.
• KPI and performance architecture for analyses.
• Training employees in Oracle performance and DBA topics.

E.ON Digital Technology, Landshut / KKI | 03/2019 – 12/2021 Oracle Operations, Architecture and DBA

• Patch concepts, technical documentation, installation, database administration and operations of Oracle 12c/19c.
• AIX 7.x, LPAR administration including VIO server and software distribution with NIM.
• Performance monitoring and monitoring.
• Backup and restore with TSM / IBM Spectrum Protect and Oracle RMAN.
• Installation of Enterprise Manager 13c with WebLogic Server 12.1x; employee training.

KaPe Munich – various end customers in DACH / Europe | ongoing / various projects Oracle DBA, architecture, migration, DWH consulting and project management

• Many years of consulting and operational DBA work in various Oracle architectures.
• DWH/CRM platforms: planning, analysis, performance and tuning, as well as business analysis.
• RAC, Data Guard, Transportable Tablespaces, RMAN and Oracle 11g/12c in enterprise environments.
• Customer projects including Burda, Deka, E.ON, Otto Group and Augsburger Allgemeine.

AXA, Germany / Europe | 09/2018 – 02/2019 Oracle DB Operations and Migration – Cloud Architectures

• Planning, methodology and execution of Oracle database migrations to IBM Private Cloud / Spectrum and AWS Public Cloud.
• Creation of Oracle databases in the cloud with SLES and Terraform templates.
• Technical architecture work and cloud KPIs.

RWE / SÜWAG / Syna, Germany | 07/2016 – 09/2018 Oracle DB Migrations 11g/12c and Project Management

• Design, planning and execution of Oracle database migrations 11g → 12c with platform and architecture changes.
• Windows Server 2012/2016 and setup and migration of Enterprise Manager/WebLogic-based monitoring environments.
• Use of Data Guard, TTS, EXPDP/IMPDP and RMAN based on analysis of application requirements.
• Performance and tuning for Oracle 11g/12c.

MTU Aero Engines, Munich | 01/2016 – 03/2017 Oracle DBA / Requirements Engineer

• Operations and development of Oracle 11g/12c databases and application workflows.
• Interfaces to SAP via BAPI.
• Design and management of APPS modules with Visual Basic / Visual Studio and PL/SQL; version control with SVN.

UBIS (HVB), Munich | 04/2012 – 08/2015 Oracle Operations, Architecture, DBA and Project Management

• Oracle-based operations and migration of MUREX and Sophis trading platforms.
• Oracle Security, Wallet, Tablespaces, RAC, Data Guard, Database Vault, GoldenGate and DWH.
• Project management for Oracle DWH migrations and release changes from 10g to 11gR2.
• Migration OWB 11gR2 → ODI 12c and introduction of Oracle Database 12c.
• Platforms: Red Hat, AIX and Solaris.

WWK Deutschland a.G., Munich | 09/2010 – 03/2012 Oracle DB and HP-UX → Linux Migration

• Architecture, planning, operations concept and migration of 104 databases from an HP-UX cluster to Red Hat Linux.
• Single Instance with Veritas Cluster and 2-node RAC 11.2.0.2; four Data Guard databases.
• Project management for OWB/DWH migrations (>1 TB), including tuning, PL/SQL, mappings and metadata.

Allianz Deutschland, ACAS Stuttgart | 03/2010 – 09/2010 Technical DWH Project Manager

• DWH project for processing European ETL data sources.
• Business analysis and requirements management for automated loading processes.
• OWB, PL/SQL, SQL*Loader, Oracle Advanced Security / TDE, Oracle BI and Database Vault.

NETMA, Munich-Taufkirchen | 08/2007 – 02/2010 Oracle Specialist and DBA for Oracle Applications 11i

• Operations of Oracle 9i/10g and Oracle Applications 11.5.10.
• Design and development of APPS modules with PL/SQL and SVN.
• Oracle RAC, Enterprise Manager, Oracle Application Server and migration tests.
• Platforms: AIX, SLES, Windows and HP-UX.

BT Germany, Munich | 11/2007 – 04/2008 Oracle DB Migration

• Migration from Oracle 8i to 10gR2 in a Solaris cluster environment.
• Preparing offers, project planning and process planning.

Itellium (KQ), Nuremberg | 02/2007 – 08/2007 Oracle DWH Specialist

• Design and analysis of a DWH focusing on master data and logistics.
• Oracle Designer, OWB, Oracle Database, ETL, PL/SQL and External Tables; data volumes up to approx. 5 TB.

Oracle Deutschland GmbH, Munich | 10/2006 – 02/2007 and further assignments Oracle Specialist / Consultant – Data Migration and DWH

• Consulting for customers such as Volkswagen, GE Money Bank, WeKa, KSB, Swisscom and British Telecom.
• Migration Discoverer EUL4 → EUL5i, database optimization, Data Guard and web/database analysis.
• Performance and tuning on Solaris and Linux.

HaSpa, Hamburg | 07/2006 – 10/2006 Oracle Specialist / Consultant – Data Migration and DWH

• Setup of an Oracle-10gR2 environment for banking applications.
• Data transfer from DB2 / OS390, architecture, sizing, tuning and performance.
• Data preparation and integration with OWB.

AUDI, Ingolstadt | 02/2005 – 06/2006 Oracle Consultant and DBA

• Operations, installation and maintenance of Oracle 9i/10g and IAS 10g.
• RMAN, Oracle RLS, Oracle HTMLDB, Veritas Cluster, Solaris and AIX / HACMP.
• Database cloning and migration 9i → 10g; approx. 200 systems up to 4.5 TB.

Photocolor, Kreuzlingen / CH | 11/2003 – 01/2005 Project Manager / Oracle

• Implementation, configuration, technical support and acceptance of an Oracle ERP/CRM solution.
• Oracle Applications, Oracle 9i, Solaris, HP-UX, OWB and Mercury TestDirector.
• Project scope approx. 2 TB; reporting to management.

ZPD NRW, Duisburg | 05/2003 – 10/2003 Oracle Consultant

• Consulting, PL/SQL training and project planning for a nationwide Oracle Forms integration.
• Oracle on HP Superdome / HP-UX; data volume 1.2 → 2.5 TB, sizing up to 5 TB.

Messe München GmbH | 11/2002 – 05/2003 Project Manager / Oracle

• MIS/DWH solution with OWB, Discoverer, Oracle 11i / 9i and RAC.
• Architecture, design, integration, troubleshooting and consulting for data volumes of 1.5–2 TB.

Aria SA Integration, Geneva / CH | 09/2002 – 11/2002 Oracle DBA and Consultant

• Oracle 8.1.7.4 / 9i; merging the Stuttgart and Geneva databases via replication.

Teaching English at Munich Volkshochschule, developing training materials and delivering courses to adult learners

In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.

Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.

In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.

To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.

Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.

Achievements:

• Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
• Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
• Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
• Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
• Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
• Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
• Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
• Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
• Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
• Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
• Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
• Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
• Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
• Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.

Tech stack:

• Infrastructure as Code: Terraform, AWS CDK, Ansible.
• Containers: Kubernetes on EKS, AKS, Docker.
• Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
• Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
• Backend: Python with FastAPI, also Node.js with NestJS.
• Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
• CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
• Monitoring and Observability: Prometheus and Grafana.
• Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
• ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
• Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
• Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.

• Partner directly with C-level leadership (CEO, CAIO, CTO) on architecture, OKR strategy, and cross-team roadmap prioritization, translating strategic goals into structured engineering requirements.
• Surfaced and mapped technical debt across the entire organization with C-level leadership and co-defined a prioritized remediation strategy, balancing debt paydown against feature delivery.
• Led code reviews and technical standards across the team, fostering a mentor-first environment with two-way feedback dialogue — pairing on complex pipeline work and unblocking junior engineers on async architecture patterns.
• Re-architected the AI companion's core processing pipeline from synchronous to asynchronous with a queue-based worker architecture, enabling horizontal scalability and cutting upload processing time ~4x (from ~22s to 5–10s) while improving response accuracy.
• Designed an AI-driven document intelligence workflow with automatic multi-document classification, per-document summarization, and relevance guardrails for the patient care journey.
• Built a unified patient memory system (short- and long-term context) bridging the document vault and chatbot into a single bidirectional, context-aware platform.

Internal systems with regulatory and security requirements could not be used directly by AI tools for incident triage, troubleshooting, and documentation search. The goal was to securely integrate these systems through MCP while preserving existing acce...

AI Assistance and Target Vision for Partially Autonomous Energy Portfolio Management

Building an AI control layer directly on the up-to-date daily live portfolio of a large energy provider — not as an isolated pilot, but as an operational extension of the existing DB1 and portfolio management. The goal is the gradual development from assistance through monitoring/alerting to analysis agents with Human-in-the-Loop approvals, supplemented by a role-specific System of Engagement alongside the BI System of Record. At the same time, the business case, target vision and management pitch compared with static monthly reporting are being developed.

• AI control layer: Design and build on the existing live portfolio data product (several million contracts) — development stages assistance → monitoring/alerting → agents with Human-in-the-Loop approvals.
• LLM-supported data analysis: Semantic queries, SQL/tool integration and additional RAG components based on portfolio, plan-versus-actual and data quality data (Azure OpenAI, Snowflake), with drill-downs to individual contract level.
• Analysis agents: Multi-stage agents for variance and driver analyses of churn, price adjustments, volumes and procurement costs.
• Views concept: Role-specific interfaces for business units, management and C-level as a System of Engagement alongside the BI System of Record.
• Business case & pitch: Target vision and cost-benefit argumentation compared with static monthly reporting.
• LLM setup (privacy & security): Coordination with IT Security and Data Protection — EU region, data separation and approval processes.
• Agent architecture: Multi-stage agent pipelines (analysis → validation → summary) with documented data sources, tool calls, review steps and source references for each statement.
• Data foundation: Built on the up-to-date daily DB1 data product (Snowflake, dbt) — portfolio, plan-versus-actual and data quality metrics as the common basis for all AI analyses.
• Guardrails & evaluation: Evaluation and approval processes for LLM responses relating to management-relevant statements — test sets, metrics and human review.
• Prototyping & validation: Iterative validation of agent responses with the business unit — test question catalogue, feedback loops and response quality for each release.
• Roadmap & development stages: Detailed stages from assistance → monitoring/alerting → partially autonomous management, including transition criteria and governance for each stage.
• Integration: Integration into the existing BI and data landscape — BI remains the System of Record, while the AI layer provides interactive drill-down paths as the System of Engagement.
• Enablement: Enablement of business users — prompting guides, training and an operating model for ongoing use.
• Management: Coordination of business units, Data Engineering, IT Security and Data Protection.
• Change Management: Communication and expectation management with business units and management throughout the development stages.

Results:

• Built on an existing up-to-date daily data product with several million contracts
• Established an LLM setup coordinated with Data Protection and IT Security in the EU region, including data separation and approvals
• Defined three development stages through to partially autonomous management
• Designed role-specific views for business units, management and C-level
• Developed the business case and management pitch for the development stages
• Established an iterative response-quality validation process with the business unit
• Designed the operating model for assistance operations and initiated validation

Stack: Azure OpenAI, Azure AI Foundry, Snowflake, dbt, React, TypeScript, Entra ID, RAG, Agentic AI, analysis agents, Human-in-the-Loop, Prompt Engineering, LLM Evaluation, LLMOps, GDPR / EU region, Azure DevOps, Python, SQL, Change Management

Project for a leading German email and cloud service provider: As Senior Frontend Developer and Technical Web Architect, I developed an international, multi-tenant white-label consent management layer for multiple brands.

Main tasks:

• Architecture and implementation with Vue 3, TypeScript, and Vite
• Development of automated tests with Vitest and Playwright
• Creation of brand-specific CMP configurations, CSS themes, i18n structures, and vendor settings
• Implementation of playout and initialization logic as well as backend integration
• Technical decision support, project, and code documentation

Impact: Replacement of external CMP solutions with a reusable and long-term maintainable in-house foundation for several international brands and rollouts.

Technologies: Vue 3, TypeScript, Vite, Vitest, Playwright, IAB TCF, Google Additional Consent, i18n, Git, CI/CD.

• Successfully restructured ProSiebenSat.1 Digital and merged with Seven.One Entertainment Group to enable Digital Consumer Products strategy for 6k+ employees across DACH.

• Acquired JOYN streaming platform (4M unique users) from Warner Bros. Discovery and managed integration of 160+ people while maintaining efficiency.

• Pivoted to a platform organisation with a capped annual budget of EUR -100M, decreasing time-to-market and enabling product testing within 3 months, avoiding significant upfront investment.

• Focus on reusability and modular components generated new mid-digit multimillion revenue through Live Interactive shows (EUR 2.5M project budget, 7 months of development).

• Built from scratch and went live with a new publishing business for Digital News and Sports within 6 months, enabling 250+ editors with multi-tenancy support.

• New tech stack product achieved +66% YoY unique monthly active users and +60% YoY time spent per day (>2h).

• Set up the new digitization strategy.
• Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
• In close cooperation with the business department, the individual processes are created and put into production.
• Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
• Gradual migration of old code from IBM WebSphere to JBoss.
• Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.

• Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)

• Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)

• Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)

• Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)

• Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)

• Analysis and assessment of government business processes with regard to migration capability
• Definition and preparation of the technical framework conditions in the new master data center
• Development and optimization of migration procedures and processes
• Transformation of existing solutions to new technical standards (technology refresh)
• Coordination of architecture and technical cross-cutting topics