Automic Experts

• Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.

• Defining the general guidelines in the QA handbook

• Summarising test results in QA reports for PLA

• Analysing project results for improvement opportunities

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

• Ensuring compliance with SERA requirements

• Creating a cross-project test concept

• Agreeing on sprint completion reports

• Formal review of work results in accordance with requirements and/or the project plan

• Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)

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

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

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

• 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

• 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

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

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

• On the stakeholder side, the program reporting line extends to the company’s executive board and that of the implementation partner.

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

• The focus of the work is on providing expert advice and assessment to define the scope, strategy and roadmap for transitioning Fiserv Germany’s SAP ECC system to SAP S/4HANA.

• The recommended best practices from SAP 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 and ensures alignment with industry best practices, regulatory compliance and future scalability.

• Migration Strategy Definition – assessment of 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 required to implement the necessary functions in SAP S/4HANA and to identify opportunities for process optimization.

• Roadmap for Non-SAP Systems and Applications – assessment of third-party and legacy applications regarding their integration with SAP S/4HANA and recommendation of consolidation, migration or replacement strategies.

• Deployment & Implementation Planning – defining a phased approach for implementation, including project schedules, risk mitigation strategies and key milestones aligned with business priorities.

• This transformation takes place in phases: the Discovery phase leads to the Explore phase, which is followed by the Design phase and finally implementation.

• Program management

• Change management

• Requirements management

• Transition management

• Stakeholder management

• Risk management

• Comprehensive coordination

• 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.

• 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

• Creation of business and technical concepts as well as support for enterprise architecture management as part of the migration to the Adesso standard insurance solutions and the renewal of surrounding systems

• Interface definitions

• Business analysis and creation of the business concepts for input management and sales

• Creation of architecture guidelines and processes

• Processing technical and business decisions in the architecture board

• Definition of service processes and system management aspects

• Creation of the technical target operating model

• Creation of an integration architecture for AI/LLMs from the providers Commasoft and Insiders

• CommaSoft (Alan) webpages and web services

• Insiders for Smartfix based on web services

• Creation of a question catalog for a security/regulatory check.

• Analysis of threats using threat modeling / STRIDE incl. creation of a set of measures to secure the systems

System environment: Jira, Confluence, Java, Enterprise Architect, VAIT/DORA, KritisV, GDPR, IT ServiceMgmt, Adesso Ecosphere and Insure Health, DoPIX and successor product, SmartFix, SmartFlow, Zabas, Kolumbus, Clarc archive, BiPRO, AI / LLM, MS Azure, AWS, TOM/FMO

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

• Development of the Ibalis portal and payment procedures for applying for and paying out EU funding.
• Publicly accessible portal, e.g. for farmers.
• Projects over the last ten years were carried out according to Scrum.
• Technologies: Spring, Wicket, Hibernate, Postgres, JSON, XML, REST, Bitbucket, Podam, Buckets, JUnit, Gradle, Intellij, Bamboo, Swagger.

• 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

• 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.