Effective planning and execution of IT projects in the technical environment

• Project Definition and Planning:
  Detailed analysis of the project's requirements and objectives in a technical context.
  Structured breakdown of the project into phases and milestones, considering technical dependencies and risks.
• Resource Management:
  Identification and allocation of the required resources (personnel, budget, technology) for the project.
  Efficient use and coordination of resources to achieve project goals within the defined framework.
• Risk Management:
  Early identification of potential risks in the technical environment and development of measures for risk mitigation.
  Continuous monitoring and adjustment of the risk strategy throughout the project.

Budget Monitoring, Time Management, and Stakeholder Coordination

• Budget Monitoring:
  Continuous monitoring of the project budget, identification of budget deviations, and timely implementation of corrective actions.
  Creation of budget reports and transparent communication with stakeholders.
• Time Management:
  Creation of a detailed schedule with clear milestones and timeframes.
  Regular review of project progress and adjustment of the schedule if necessary to ensure timely project completion.
• Stakeholder Coordination:
  Active communication and involvement of all relevant stakeholders (clients, internal teams, suppliers) throughout the project.
  Building and maintaining relationships with stakeholders to manage expectations and proactively resolve conflicts.

Software Development (Backend, Frontend, Fullstack)
Development of tailored solutions for backend and frontend applications

• Requirements Analysis and Design:
  Thorough analysis of customer requirements to develop customized software solutions.
  Creation of technical specifications and architecture designs for backend and frontend systems.
• Programming and Implementation:
  Use of modern programming languages (e.g., Python, Java, JavaScript) and frameworks (e.g., Django, Spring, React) for efficient implementation.
  Development of robust backend systems for data processing, authentication, and interfaces.
• User Interface Design:
  Creative design of attractive user interfaces (UI/UX) considering usability and brand requirements.
  Integration of frontend technologies for interactive and performant web applications.
  Use of modern programming languages and frameworks
• Technology Selection:
  Evaluation and selection of appropriate programming languages, frameworks, and tools based on project requirements and best practices.
  Integration of third-party components and libraries to accelerate development and improve scalability.
• Quality Assurance and Code Optimization:
  Conducting code reviews, unit tests, and performance optimizations for a robust and maintainable codebase.
  Adherence to coding standards and best practices to ensure software quality and reliability.

Software Testing
Comprehensive testing of software solutions for quality assurance

• Test Strategy and Test Planning:
  Development of a holistic test strategy considering the system architecture and functional requirements.
  Creation of detailed test plans with clear test cases, scenarios, and data.
• Test Execution:
  Manual and automated testing at various levels (unit, integration, system) to ensure software quality.
  Creation of test reports and error documentation for transparent error tracking and resolution.
  Creation of automated test procedures and error analysis
• Test Automation:
  Development and implementation of automated test scripts and test frameworks to optimize test execution.
  Use of Continuous Integration / Continuous Deployment (CI/CD) for automated test runs and quick feedback loops.
• Error Analysis and Debugging:
  Identification, prioritization, and analysis of software bugs in collaboration with development teams.
  Use of debugging tools and techniques for fast error resolution and improvement of software quality.

Data Analysis and Engineering
Analysis of large datasets to derive decision-relevant insights

• Data Management and Integration:
  Extraction, transformation, and loading (ETL) of data from various sources into appropriate data formats.
  Integration of big data technologies (e.g., Hadoop, Spark) for processing and analyzing large datasets.
• Data Analysis and Visualization:
  Application of advanced analytical methods like machine learning and data mining to detect patterns and trends.
  Creation of interactive data visualizations and dashboards for clear presentation of results.
  Implementation of data solutions for efficient processes and optimization
• Optimization of Data Processes:
  Development and implementation of data pipelines for automation of data flows and processing.
  Identification of optimization potential in data processes and implementation of efficient solutions.

SAP Consulting and Development
Consulting for the implementation and customization of SAP solutions

• Business Process Analysis:
  Analysis of existing business processes and identification of optimization opportunities through SAP implementation.
  Consulting on the selection and configuration of SAP modules according to the company's individual requirements.

Development of Custom SAP Modules and Interfaces

• Customizing and Expansion:
  Customization and extension of SAP systems through customization and development of tailored modules.
  Implementation of interfaces between SAP and other systems for seamless integration of business processes.

Scrum
Implementation of agile project management methods for flexible and efficient execution of IT projects

• Scrum Practices:
  Introduction and training of teams in Scrum methods and practices (e.g., Daily Stand-ups, Sprint Planning, Retrospectives).
  Support in implementing agile workflows to increase team productivity and flexibility.
  Close collaboration within interdisciplinary teams
• Collaborative Work Culture:
  Encouraging collaboration and communication between team members (developers, designers, analysts) for holistic project execution.
  Building interdisciplinary teams with diverse skills and experiences to promote innovation and problem-solving.

Cloud (AWS, Azure, etc.)
Implementation and use of cloud services

• Cloud Architecture Design:
  Development of cloud architectures considering scalability, security, and cost optimization.
  Selection and configuration of cloud services according to the requirements of applications and workloads.
  Cloud Architecture, Migration, and Management
  Cloud Migration and Integration:
  Planning and execution of cloud migration projects for legacy applications and infrastructures.
  Continuous cloud management to optimize resources, costs, and performance.