Oracle Linux Experts in Germany

Senior IT Integration Manager for an international transformation program, focusing on IT integration, data migration, stakeholder management, dependency steering, governance and management reporting.

Bullet points

• Steering IT integration and transformation activities in an international enterprise environment
• Coordination between business, IT, specialist departments and external service providers
• Planning and tracking roadmaps, milestones, dependencies and risks
• Preparing status reports, decision papers and management updates

• Creation of automated tests.
• Extension of the functionality of the enterprise BI data warehouse.
• Design and development in SQL and PL/SQL.
• Data modeling as well as performance measurement and tuning.
• Creation of and contribution to user stories and concepts.
• Technical environment: Windows, Linux.
• Database: Oracle 19c incl. DWH, CDB, PDB.
• Tools: Confluence, CVS, Eclipse, Git, GitLab, Jira, N4, PL/SQL, SQL Developer, utPLSQL.

• Operation, administration, and further development of an Oracle 21c database environment on Oracle Linux, including performance analysis, troubleshooting, and PL/SQL
• Setup and operation of a Kubernetes environment on AWS (EKS)

Skills: Oracle 21c DBA, Oracle Linux, Kubernetes, AWS

• Architecting and developing SaaS platform for graphical definition and execution of pandas data processing pipelines
• Developed POlyglott, an open-source Python CLI tool for translation workflow management featuring PO file parsing, quality linting with glossary enforcement, and DeepL API integration for machine translation
• Developed web application for material compliance management (EU REACH) using Django and modern web technologies
• Built automated infrastructure platform using Proxmox, Terraform, and Ansible — VM provisioning, configuration management, internal DNS, and fleet-wide security hardening across multiple subnets

• Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
• Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
• Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
• Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
• Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
• Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
• Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification

• Planned and implemented new network infrastructure (VLAN, LACP, DMZ, structured cabling)
• Migrated from VMware to KVM using Oracle Linux Virtualization Manager (OLVM), including CPU pinning
• Hardened the entire environment using SELinux (KVM hosts, container hosts, database servers)
• Configured and operated the virtualization platform with OLVM and Ansible-based provisioning
• Containerized and redeployed critical services: WordPress, Jenkins, PostgreSQL, MariaDB, Subversion with Apache + AD integration
• Developed Ansible playbooks for automated deployment and configuration management
• Integrated Foreman for repository and security management in the DMZ
• Produced technical documentation in Markdown; organized in Bookstack
• Coordinated with external vendors (e.g. HPE) for hardware installation and setup
• Delivered all contributions documented and reproducible in Markdown

• Patch management
• Support in database development
• Installation and upgrades of the following Oracle systems:
• Oracle Analytics Server (6.4)
• Oracle Enterprise Manager Fusion Middleware Control
• Oracle Data Integration Server
• Oracle BI Administration Tool
• Oracle WebLogic

• Migration of Oracle databases from on-premise to the AWS Cloud
• Support for technical Oracle solutions and cloud database infrastructures (IaaS and PaaS) RDS vs. EC2, sizing for performance
• Creation and maintenance of DR/HA (Disaster Recovery/High Availability) and backup and recovery policies and procedures (multi-region backup)
• Support for Oracle license selection, Enterprise → Standard migration
• Monitoring database instances
• Implementation and maintenance of database security (wallet, SSL)
• Patch management and version control
• Automated installation and configuration of Oracle databases using Terraform and Ansible

• Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
• Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
• Responsible for webinar:
• IoT edge computing: architecture, components, resources, management
• IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
• IoT processes, connectivity, data transfer and deployment, security
• Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
• Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
• Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
• Analysis of large sensor data sets with Apache Spark, Kafka clusters
• Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
• Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
• Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))