Automic Experts

With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.

• Capture current architectures of existing systems as well as methodical consulting and development of target architectures
• Deepen and maintain the building plan / target IT landscape
• Implement technical architecture concepts & architecture descriptions
• Implement migration concepts for updating and further developing the platform and information systems
• Assess submitted improvement suggestions as part of the project
• Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
• Create a compatibility matrix of the components in use and compare dependencies of specific versions
• Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
• Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
• Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
• Advise the Release Train Engineer / Project Manager in identifying project risks
• Advise the System Architect Engineers in steering the implementation of the concept
• Implement the IT concept
• Document the infrastructure

Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot

• Creating interfaces between the legacy platform and the new container solution
• Coordinating required contributions from line units
• Moderating regular status meetings with the software vendor
• Minimally invasive conversion of TWS scheduling from the old to the new platform
• Environment: IBM Mainframe, DB2, CICS, MQ, Red Hat Linux, Oracle, Kubernetes, Kafka, Helm, GitLab, Jenkins

• 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.

• Analysis and audit of the current situation on-site and at customer locations
• Planning of IT infrastructures and advice on new hardware purchases as well as migration planning
• Planning and management of the IT budget
• Configuration and support of IT hardware under Windows 7, 8.x, 10 and Mac OS
• Review and update of documentation with regard to GDPR
• Analysis and expansion of technical and organizational measures in accordance with GDPR and BDSG
• Training of employees
• Training in AI-Assistant Consulting and Cybersecurity with AI
• Recording the current state and planning the target state
• 2nd/3rd level support (C/S/N)
• Technical environment: Exchange Administration, Active Directory, MS Server 2016 R2, MS Server 2022, MS SQL Developer, MS SQL, Visual Studio 2013+, Tivoli Monitoring, Tivoli Remote, TeamViewer, weclapp CRM Solution, RA-Micro, IT Compliance, Citrix, UltraEdit, SCCM, Windows XP–11, Office 2010–M365, VPN Solutions, Lexware Solutions, OKI Management Solutions, LogMyTime, SAGE Systems

• Devised a new Domain-Driven Design architecture for a core system: reverse-engineered a central component, refactored the data-access layer to minimise database round-trips (improving scalability) and migrated processing to async.
• Decomposed the platform into independent .NET Core microservices (database-per-service) with RabbitMQ pub/sub using the Outbox Pattern + Saga choreography, behind an Ocelot API Gateway (JWT, rate limiting, CORS, health checks).
• Delivered on .NET Core / Angular / SQL Server / EF Core with Docker and Azure DevOps CI/CD; implemented health checks and CORS; contributes technical designs for stories in agile Scrum.
• Sole ADR owner; mentored 3 engineers and presented architecture decisions directly to the Director of Corporate IT.

• Design, development, and maintenance of end-to-end ETL pipelines for scalable and reliable data integration
• Support in data quality checks, testing, and migrations
• Development and maintenance of dbt models for structured, modular, and reusable data transformations
• Use of AI-driven development to improve ETL job creation and code quality.
• Development of CI/CD for automated deployment.

• Migration of existing data jobs from Cognos Data Manager to Tibco/IBI Datamigrator
• Migration data jobs parametrisation for dynamic runs
• Optimisation and cutting-back
• Regression tests
• Knowledge transfer and documentation

• Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.

• Set the fundamental guidelines using the QA handbook

• Summarized test results in QA reports for PLA

• Analyzed project outcomes for improvement opportunities

• Quality management of requirements analysis (especially processes, methods and tools)

• Ensured compliance with SERA guidelines

• Created a cross-project test concept

• Agreed on sprint completion reports

• Conducted formal reviews of deliverables according to guidelines and/or project plan

• Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)

• Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

• Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
• Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
• Storage of the silver layer on Hadoop and the gold layer in Oracle.
• Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
• Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
• Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
• Versioning changes in GitHub and deployment via the CI/CD portal.
• Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
• Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
• Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
• Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
• Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.

I continuously expand my expertise in AI and automation, working with ChatGPT, OpenAI, Manus, Gemini, MS CoPilot, API, LangChain, Hugging Face, Manus, TensorFlow and Auto-GPT as well as Python-based ML frameworks and MLOps tools to intelligently transform classic software development, analysis, and testing processes.

• Introduction of giro card with Visa Debit card payment function (Combocard) for Commerzbank
• Support for the Card Processing Team (card processing; Clearing & Settlement incl. Dispute Management teams) in project work
• Creation of requirements for the Clearing & Settlement team, Authorization team (AZ) and Card Production team (KP) as part of a requirements catalog
• Requirements engineering (requirements management) with business contact person
• Participation in workstream meetings between VISA Inc., SRC Security Research & Consulting GmbH, Commerzbank AG and consulting firms (PwC and Senacor Technologies AG)
• Sprint planning with Jira tickets of type Task and use of Confluence
• Creation and presentation of weekly status reports for the Clearing & Settlement, Dispute Management and Reporting & GUI workstreams
• Coordination with network and file transfer teams for connection tests of new interfaces, e.g. setup of host keys, use of VPN or sipnet connections
• Coordination of the delivery of test files, e.g. exchange rates (FX rates; TC 56 of VISA rates), VISA Debit and Credit transactions (format Base II) and EANSS/ISS Base II clearing files to the Debit Clearing System (DCS)
• Conducting coordination meetings on the use of Visanet Settlement Service (VSS) and PSD2 reports and payment traffic statistics (ZVS)
• Organizing workshops with FiServ (First Data) on Dispute Management and complaint handling
• Setup and maintenance of Open Point List (OPL) in Confluence
• Technologies/methods: Jira, Confluence, giro card, VISA Debit card, payments, Kanban board, BIN, routing, CIQ, VPAY, ScalaTest, Dispute Management

• Administration of 8-node RAC (19.26) database systems
• Use of Golden Gate
• Use of UC4

• The client is undergoing a comprehensive transformation. All SAP ECC landscapes worldwide are being migrated to SAP S/4HANA, with the goal of introducing a global standard template.

• The program also includes the migration and modernization initiative "RISE with SAP", which may involve migrating selected country installations to the SAP Private Cloud.

• On the stakeholder side, the program's reporting line extends up to the company's board and the implementation partner's board.

• Fiserv Germany's ERP landscape currently includes several non-standard SAP tools and applications that extend the ECC environment's functionality and often integrate with downstream systems. As part of the move to SAP S/4HANA, it is essential to assess the core functionality, integration points, and future viability of these applications to determine their alignment with the target architecture.

• The focus of the role is to provide expert advice and assessment to define the scope, strategy, and roadmap for migrating Fiserv Germany's SAP ECC system to SAP S/4HANA.

• SAP's recommended best practices are followed, and a structured approach is used to ensure a smooth transition with minimal disruption while maximizing business value.

• This assessment forms the basis for a successful SAP S/4HANA transformation, ensuring alignment with industry best practices, regulatory compliance, and future scalability.

• Migration strategy definition – evaluating available transition approaches based on business objectives, technical feasibility, and SAP best practices.

• Technical readiness assessment – conducting a system analysis to assess compatibility, custom code impact, data volume management, integration points, and infrastructure readiness for SAP S/4HANA.

• Business process impact analysis – reviewing the latest business process documentation to define the scope and effort needed to implement required functions in SAP S/4HANA and identify process optimization opportunities.

• Roadmap for non-SAP systems and applications – evaluating third-party and legacy applications for SAP S/4HANA integration and recommending consolidation, migration, or replacement strategies.

• Deployment & implementation planning – defining a phased rollout approach, including project timelines, risk mitigation strategies, and key milestones aligned with business priorities.

• The transformation is carried out in phases: the discovery phase leads to the explore phase, which then leads to the design phase and finally to the implementation phase.

• Program management

• Change management

• Requirements management

• Transition management

• Stakeholder management

• Risk management

• Comprehensive coordination

• Consulting for SAP S/4HANA transformation
• Analyze business processes and requirements
• Process modeling and visualization
• Consulting on SAP CO and PS
• Designing customization for CO and PS
• Supporting migration of CO and PS master and transaction data via SNP
• Test management, test support, error analysis, and error resolution
• Executing test cases, documenting test results, and tracking fixes for identified errors