Apache Subversion Experts in Frankfurt

• Introduction of 5 different process applications for different teams

• Release planning: scope and time management

• Resource/capacity planning

• Conducting Sprint Planning / retrospectives

• Increment planning (several sprints)

• Preparation of Steering Committee meetings / reporting to the Board

• Coordination / alignment with external suppliers / deliveries

• Resource planning for multiple projects

• Coordination with business department and development team

• Identification of best practices with IBM BAW

• Cost control and planning for the project team and external service providers

• Collection of KPIs using LogScale

• Analysis of application errors with LogScale / Queries

• User Story definitions / coordination of requirements with the business department and development team

• Testing and defect tracking

• UI/UX design of applications

• Preparation and moderation of Brown-Paper workshops

• Test concept, test data, test organization, test execution

• Collection of team velocity / metrics

• Test execution

• Script for automated testing

• Test organization with business department and IT

• Recording and prioritization of defects

• Establishment and operation of the application

• Establishment of application monitoring with LogScale Dashboards

• Checking health endpoints with PowerShell

• Post Mortem analysis

• Establishment of Incident Management

• Establishment of Problem Management

• Analysis of errors using LogScale Queries and Dashboard

• Pre-processing of data for AI

• Evaluation using AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG

• Installation of runtime environments for LLMs (Large Language Model)

• Evaluation of various LLMs

• Installation of RAG (Retrieval Augmented Generation) and integration with LLM

• Extraction of unstructured data with LLM and RAG

• Project based on IBM BAW (Business Automation Workflow), Websphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, Powershell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber

• Analysis of the existing reporting platform, including processes and governance topics, with stakeholders from Sales and Marketing.

• Detailed analysis and evaluation of customer-defined requirements for existing reporting and new dashboards to be established.

• Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.

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

• Development of a proposal for the required further development of processes and the Power BI platform.

• Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.

• Analysis and assessment of the customer's Power BI platform.

• Analysis of processes and data governance.

• Documentation of AS-IS business processes.

• Development of recommendations for further developing processes and the reporting platform.

• Design and implementation of dashboards in Power BI.

• Development of company-wide KPIs and coordination with stakeholders.

• Microsoft Power BI.

• Data analytics.

• KPI definition and reporting.

• Dashboard design and data visualization.

• Stakeholder management and requirements management.

Statistical Forecasting Algorithm

• Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
• Migration from R/On-premise to Python/Snowflake
• Productionalization on Snowflake in cooperation with data engineers & DevOps

Monitoring Dashboard

• Data engineering for preparation & provisioning of necessary data/resources on Snowflake
• Development & deployment of a Streamlit dashboard in Snowflake

ML-based Probabilistic Forecasting on Vertex AI

• Development of a ML-based probabilistic forecasting algorithm from scratch
• Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI

Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow

• Conducting and evaluating web analyses
• Creating and editing tags and scripts in the area of tag management as well as banners and other client-side web elements in the area of consent management
• Technologies used in development: Tealium, JavaScript, IntelliJ, Git, Android Studio, Selenium, Appium, Adobe Analytics, Power Automate, Power App

• Development and implementation of backend components with PL/SQL and Oracle Forms 12c. Adaptation and further development of the policy administration system. Technical consulting in UI design with a focus on integrating existing Oracle Forms and the requirements of the BIPRO framework.
• The project takes place in the technical environment of BIPRO, SQL databases and Oracle Forms applications. The assigned work includes backend development and technical further development in the above project with the following tasks:
• Development and implementation of backend components with PL/SQL and Oracle Forms 12c to technically map the business processes and ensure a stable and efficient system architecture
• Adaptation and further development of the policy administration system to ensure system functionality in line with the requirements of the new broker communication program
• Analysis of the existing system to identify and avoid errors and technical problems during implementation, in order to enable a smooth transition to the new system
• Carrying out patching and further development of existing Oracle and Oracle Forms applications to ensure compatibility and security of the systems in use
• Technical consulting in UI design with a focus on integrating existing Oracle Forms and the requirements of the BIPRO framework.

Label: PL/SQL, Java, Oracle RDBMS and Oracle Forms

Developed a digitalization strategy Analyzed legacy systems and designed a new IT landscape

• Gathered current work structures and processes
• Identified optimization opportunities
• Developed a tool landscape to support business processes
• Created a request for proposal
• Defined epics and user stories
• Modeled processes

Technologies/Methods: Confluence, MSTeams, MindManager, PlantUML, JIRA

• Define the QA strategy and plan for the above mentioned OEMs project.

• Identify applicable processes, methods, and standards to be followed (eg, GS_95014, KGAS, ISO/IEC 15504, ISO 26262, ISO 21434, etc.).

• Plan reviews, audits, and assessments as per the strategy.

• Check whether the project follows defined processes (System, software, mechanical, hardware, testing, change, configuration, problem, risk etc.) as per strategy.

• Provide QA support to software process: software requirement analysis, software architectural design, software detailed design and unit construction, software unit verification, software component verification and integration verification, software verification processes.

• Monitor compliance with organization-wide and project-specific standards.

• Verify that deviations are documented and escalated.

• Review work products (requirements, design docs, test cases, code, reports (MISRA, C0, C1, coding standards), etc.).

• Check compliance with standards, templates, and checklists.

• Ensure that bi-directional traceability exists (e.g., requirements ↔ design ↔ tests).

• Give objective evidence (not influenced by delivery pressure) during assessments.

• Identify non-conformances (process not followed, missing approvals, wrong standard).

• Report deviations and track them until closure.

• Verify that corrective actions are implemented (5why, Ishikawa, 8D, FMEA, FTA, DFM, DRP, PCC, LLBP, PDCA).

• Provide QA status reports to management and project stakeholders.

• Highlight risks related to process non-compliance.

• Deliver objective evidence for assessments/audits (e.g., ASPICE, ISO/IEC 15504, ISO 26262, ISO 21434, ISO_PAS_8800).

• Collect and analyze QA findings.

• Suggest process improvements.

• Support lessons learned activities.

• Achieved ASPICE Level 1 and Level 2 for multiple Audi and Mercedes-Benz projects assessments.

• Co-founded the Real-Time Data team, which grew to 10 members over time.
• Developed and delivered core data products.
• Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
• Created and maintained deployment pipelines.
• Collaborated with teammates, architects and experts in an agile Scrum environment.
• Operated applications, analyzed, tested and troubleshot software solutions.

• Creation of test concepts
• Requirements management
• Release planning and support
• DDS management
• Reporting (test report, AFO TestMatrix)
• UAT/BAT coordination
• Onboarding of new team members
• Team planning / capacity planning
• Support with documentation
• Methods/tools/technologies: black box, white box, exploratory testing, E2E testing, regression testing, L&P testing, acceptance testing and interface testing, integration and system testing, networking, JIRA with Zephyrscale plug-in, Confluence, RISE Portal, Ethernet, IPv4, IPv6, Linux, VM, Postman, SQL, SQL-Developer, Bruno, Wireshark, cloud, Burp Suite, Notepad++

• Maintenance and further development of the Java/Swing-based @rtus FormsEditor
• Design and development of a graphical formula editor based on Google Blockly for representing a project-specific DSL, including parsing and code generation
• Implementation of character-accurate synchronization between the editor and print preview to improve the user experience
• Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse

• Main developer in an online retail company
• Built an online shop using the Next.JS React framework
• Integrated the site with dozens of third-party apps using REST and GraphQL APIs
• Built a backend for order management, warehouse management (with iPhone app), and supply management
• Automated invoicing and finances with QuickBooks

• 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.

• Testing the SekIDP and related components
• Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript

• Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
• Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
• Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.