28.09.2025 aktualisiert
Premiumkunde
nicht verfügbarAI & Data Product Owner | Cloud Solution Architect | DevOps Expert
Forchheim, Deutschland
Weltweit
PhD, Applied MathematicsSkills
product Owner PSPO & Product ManagementInnovationsmanagementDigital StrategyAgile & ScrumData Science & Machine Learning ProductsProject Leading & ManagementTeam Lead & Collaborative Leadershipknowledge graphsCloud solutionsSCRUM Training & Product Owner Training
Key areas as Product Owner / Product Manager
1) Team Leadership & SCRUM
2) AI & Data Platforms with Databricks
3) Cloud-Native Solutions
4) DevOps & Platform Engineering
Key Areas as Cloud Solution Architect
1) Cloud-Native Solutions
4) AI & Data Platforms
Key Areas as DevOps Engineer
1) CI/CD, ArgoCD
2) Databricks Plaftorm Management
3) Terraform, Kubernetes, and Docker
List of Skills
1) Team Leadership & SCRUM
2) AI & Data Platforms with Databricks
3) Cloud-Native Solutions
4) DevOps & Platform Engineering
Key Areas as Cloud Solution Architect
1) Cloud-Native Solutions
4) AI & Data Platforms
Key Areas as DevOps Engineer
1) CI/CD, ArgoCD
2) Databricks Plaftorm Management
3) Terraform, Kubernetes, and Docker
List of Skills
- Agile Project Management
- Algorithm Development
- AI Services
- ArgoCD
- AWS Neptune
- Collaborative Leadership
- CI/CD
- Confluence
- Data Analytics Services
- Databricks
- Data Products
- DevOps
- Digital Business Development
- Digital Industrial Services
- Docker
- FastAPI
- Firebase
- GCP
- GitLab
- Innovation Management
- Industrial IoT Services
- JIRA
- Knowledge Graph
- Kubernetes
- Machine Learning Products
- NLP Natural Language Processing
- Ontology
- Product Management
- Product Owner (PSPO I Certified)
- Product Incubation
- Product Portfolio Management
- Predictive Maintenance Services
- Predictive Analytics
- Python
- SCRUM
- Semantic Search
- Semantic Recommendations
- Software Development
- Team Leadership
- Team Development
- Terraform
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Description
Skills: Kanban, SCRUM, Team Leadership, Operation Management, Stakeholder Management, Agile Leadership, AWS, AWS SSO, Azure, Azure Entra ID, Databricks, AI, ML, LLM, NLP, ArgoCD, Terraform, Kubernetes, DevOps, CI/CD, GitLab CICD, Infrastructure-as-Code, JIRA, Confluence
- AI & data platform for data lakes, data warehousing (DWH), and new AI services.
- The platform is based on Databricks, AWS, and Azure Entra ID.
- The development and the operation are done with an infrastructure-as-code (IaC) approach through Terraform, Python, Docker, Kubernetes, and GitLab CICD pipelines.
- Additionally, the team supports, technically consults, solution architects, and implements various AI & Data use cases to realize new business applications.
Skills: Kanban, SCRUM, Team Leadership, Operation Management, Stakeholder Management, Agile Leadership, AWS, AWS SSO, Azure, Azure Entra ID, Databricks, AI, ML, LLM, NLP, ArgoCD, Terraform, Kubernetes, DevOps, CI/CD, GitLab CICD, Infrastructure-as-Code, JIRA, Confluence
Description
Skills: Team LeadershipçTerraform · Collaborative Leadership · Agile Leadership · Infrastructure as code (IaC) · Stakeholder Management · SAFE · DevOps · CI/CD · Amazon Web Services (AWS) · Microsoft Azure · Operations Management · Customer Engineering · Leadership · Scrum · SCRUM Product Owner · Networking Infrastructure · Virtual Private Cloud (VPC) · Crossplane · ArgoCD · Kubernetes · Operations · Customer Engineering · JIRA · Confluence
- Corporate cloud landing zone in Hub-Spoke architecture for all Allianz business units to move their business safely and scalable to the cloud.
- The Hubs form a global mesh for private communication in AWS / Azure including on-premise connections, proxies, and private DNS.
- The Spokes are the accounts, VPCs / VNETs, subnets, IAM / RBAC setup, and the integration layer for other corporate services on Azure and AWS.
- Automation is achieved with Terraform, Crossplane, GitHub Actions, and native Azure / AWS services realizing a novel Infrastructure-as-Code (IaC) approach.
Skills: Team LeadershipçTerraform · Collaborative Leadership · Agile Leadership · Infrastructure as code (IaC) · Stakeholder Management · SAFE · DevOps · CI/CD · Amazon Web Services (AWS) · Microsoft Azure · Operations Management · Customer Engineering · Leadership · Scrum · SCRUM Product Owner · Networking Infrastructure · Virtual Private Cloud (VPC) · Crossplane · ArgoCD · Kubernetes · Operations · Customer Engineering · JIRA · Confluence
Description:
Skills: SCRUM, Data Science, AI, ML, Data Engineering, Machine Learning, Knowledge Graph, Graph Embeddings, Natural Language Processing, GPT-3, Azure Open AI, Ontology, Google Cloud, Kubernetes, Streaming, DevOps, Argo CD, GitLab CI/CD, Solution Architecture, ETL Architecture, Terraform, Infrastructure-as-Code, Firebase Authentication, AWS Neptune, AWS IAM, AWS STS, Python, Jupyter, Team Leadership, Partner Management
- The product was a semantic metadata platform as enterprise knowledge graph to be used for semantic recommenders and semantic smart search algorithms.
- The core was to create this Knowledge Graph with AI, ML, Natural Language Processing (NLP), semantic embeddings, and Ontologies.
- The multi-cloud solution consisted of numerous machine learning microservices, ETL pipelines on GCP, BigQuery as DWH, AWS Neptune as Knowledge Graph, and Azure OpenAI Services.
- For the ease of usage, a content exploration app was developed with Angular and FastAPI to retrieve information from the knowledge graph through a web app.
Skills: SCRUM, Data Science, AI, ML, Data Engineering, Machine Learning, Knowledge Graph, Graph Embeddings, Natural Language Processing, GPT-3, Azure Open AI, Ontology, Google Cloud, Kubernetes, Streaming, DevOps, Argo CD, GitLab CI/CD, Solution Architecture, ETL Architecture, Terraform, Infrastructure-as-Code, Firebase Authentication, AWS Neptune, AWS IAM, AWS STS, Python, Jupyter, Team Leadership, Partner Management