Big Data Experts in Frankfurt

• Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
• Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
• Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
• Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
• Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
• Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
• Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka

• ITSM consulting, analysis and optimization of IT capacity with BMC TSCO / BMC Helix
• Drafting "Governance guidelines for operational capacity management"

• Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.

• Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.

• Supporting stakeholders in managing sales processes and early detection of KPI trends.

• Use of Microsoft Power BI as central analysis and reporting platform.

• Developing a proposal for the necessary evolution of processes and the Power BI platform.

• Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.

• Analysis and inventory of the client's Power BI platform.

• Analysis of processes and data governance.

• Recording and documenting current business processes.

• Developing recommendations for process and reporting platform improvements.

• Designing and implementing dashboards in Power BI.

• Defining company-wide KPIs and aligning them with stakeholders.

• Microsoft Power BI.

• Data analytics.

• KPI definition and reporting.

• Dashboard design and data visualization.

• Stakeholder management and requirements management.

• 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.

• Managing TPA Manager and a team of 10 Claims Operation Assistants.

• Designing and implementing processes and workstreams using Guidewire from the ground up with European claims teams across all lines of business.

• Establishing service level agreements (SLAs) and detailed key performance indicators (KPIs) with new business intelligence (BI) reporting, payment and performance analysis.

• Developing, steering and analysing 50+ strategic, operational and IT initiatives, driving digital change and AI automation in payments while meeting DORA, GDPR, ACM and BAIT MaRisk regulatory compliance.

• Increasing customer satisfaction scores by 80%.

• Attracting and mentoring market-leading operational and TPA talent.

• Demonstrating strong stakeholder leadership and swift decisional influence.

• Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
• Independently designing analytics solutions with Python, SQL, etc.
• Designing and implementing ETLs and data pipelines
• Creating and maintaining APIs
• Independently applying CI/CD, testing, and version control
• Data modeling
• Model development and optimization
• Anomaly detection with AI
• Predictive analytics

Used technologies:

• Snowflake
• Fabric
• Azure Synapse Analytics
• Azure DataFactory
• Azure Data Lake
• Azure DevOps
• Databricks
• Spark
• CI/CD
• SQL Database
• Python
• Power Platform

• Recognition of national notified bodies
• Preparation of cybersecurity competency reports
• EU Radio Equipment Directive

• Steer innovation projects for AI-based systems, focusing on plant detection technology for agricultural applications.
• Champion digital transformation initiatives within software departments, advocating for Agile methodologies and Scrum-based workflows.
• Analyze and optimize team infrastructure, fostering a culture of continuous improvement and strategic development.
• Pioneered integration of AI technology in agricultural equipment, significantly advancing precision farming techniques.
• Designed a cloud-based dashboard platform, facilitating real-time data access and decision-making for field management.
• Developed camera-based GPS systems for tractors, enhancing field analysis capabilities.
• Created and implemented AI interfaces for pre-processing image data, ensuring seamless statistics delivery to the cloud via LTE.
• Innovated cloud-based dashboard platforms, introducing cutting-edge technology concepts and coordinating cross-functional teams to execute project visions.

• Optimized the patient journey through big data analysis and cross-functional collaboration
• Regionalized NICU centers with 86% coverage using mathematical models
• Developed patient flow and geoprocessing models with Python and ArcGIS, resulting in an 18% increase in efficiency
• Built simulation models to optimize bed utilization and reduce waiting times with Rockwell Arena
• Developed analytical dashboards in collaboration with clinical experts
• Implemented machine learning algorithms for birth predictions and cross-functional prescription analyses

• Responsible for IT strategy and operational IT governance in the D-A-CH region, covering infrastructure, applications, operations, security, and support
• Developed and implemented a strategic IT transformation to improve scalability, efficiency, and security of IT systems
• Managed a team of 25 specialists and coordinated with global and regional IT stakeholders
• Deployed a centralized IT service model for 250+ sites to standardize and optimize processes
• Supported and technically executed a carve-out to ensure business continuity
• Introduced modern cloud technologies and automation solutions to optimize processes
• Ensured compliance with ISO 27001, GDPR, and ITIL standards to minimize security risks
• Reduced IT costs by 20% through cloud migration and IT consolidation
• Built and led a high-performing IT team with focus on innovation and service orientation
• Led IT transformation projects including ERP migration, IT security, and digitalization
• Improved IT security level by implementing ISO 27001 and GDPR-compliant processes
• Optimized service times by 30% through AI-powered process automation

• Analysis and design of functional requirements for an AI-based forecasting model in (XRP) crypto trading to support trading decisions.

• Identification, classification, and validation of relevant input sources.

• Design and execution of business tests to verify data and model quality.

• Analysis of the regulatory environment for using robo-advisors in the crypto sector.

• ABAP developments for rku.it GmbH, Agena GmbH, Koenig & Bauer AG, Salzgitter AG, duagon AG
• Redesigned material configuration data mass maintenance Fiori app for Siemens AG Engineering to resolve system resource issues
• Conducted S4Hana ABAP code remediation, ATC checks, and implemented ABAP parallel processing for Voestalpine AG

• Highly successful role as lead data analytics expert at a US consulting startup.
• Managed stakeholder expectations by ensuring team delivery velocity using Agile and Lean practices.
• Trained and assembled international offshore data science teams of DevOps engineers, BI developers, and technical support specialists.
• As Sparecodes' data analytics experts, we improved our clients’ business outcomes through requirements management, dashboard and report development, migration, automation, and production support using IBM Cognos, AWS, SAP, Oracle, Teradata, CRM, ERP, Confluence, and Microsoft.
• Provided effective coaching and mentoring for international, multicultural teams in a remote environment, covering new tools and techniques, Agile best practices, internal and external communication, and presentation skills.
• Coordinated technical processes efficiently, including managing and implementing project changes and control processes.
• Promoted strong team engagement and supported employees’ career development, including business change management through coaching.
• Enhanced project status reports by providing insights into team productivity, predictability, and backlog burn-down, leading to improved project outcomes.
• Successfully led the coordination and implementation of software solutions for clients in mechanical engineering, including automation system integration and customization to meet client needs.

• Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
• Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.