•  Providing IT consultancy across the full technology stack
• Design and implementation of cloud-based solutions utilizing Azure with focus on scalability and operational efficiency
• Collaborating with cross-functional teams to assess, select, and integrate advanced technologies, ensuring alignment with business goals
• Guide discussions in platform meetings, demonstrating adept decision-making and leadership abilities
• Resolving high-impact IT incidents with a focus on accountability and reliability
• Facilitating global communications and engagement across dispersed sites, demonstrating interpersonal and coordination skills
• Providing expert consultancy to the Enterprise Architecture department
• Consultancy on two major initiatives: Data Management Platform and Digital Platform
• Managing key operational projects, including the relocation of a data center and the initiation of operations at a new site, ensuring seamless transition and minimal operational disruption

• Work collaboratively with diverse business stakeholders to implement multiple pricing use cases
• Provide expert consultation on data lake architecture and data infrastructure to ensure efficient data handling
• Develop and manage cloud data lake engineering processes on Azure/Databricks to streamline data operations
• Successfully led the migration of the pipeline from Data Factory to Databricks, ensuring a seamless transition with minimal downtime
• Provided expert consultation for the development of a new data platform, advising on best practices and cutting-edge technologies
• Enhanced the performance of the core pipeline by two-fold, leveraging the Delta Lake features of Databricks to optimize data processing and throughput
• Create valuable data use cases employing Databricks and Azure Data Lake to extract meaningful insights from data
• Participate in meetings with the Business team to comprehensively gather requirements for use cases, promoting effective communication
• Establish robust CI/CD pipelines on Azure DevOps to automate and enhance the software development process
• Design and implement continuous integration and deployment processes, increasing the efficiency and reliability of software updates
• Provide custom solutions consultancy for data integration, accommodating unique business needs
• Maintain and manage legacy data pipelines with Data Factory, ensuring data continuity and reliability
• Automate data integration processes for data ingestion and data export to various external systems using interfaces such as REST, FTP, etc., improving the data interchange efficiency
• Harmonize ingested data from various formats such as XML, JSON, CSV into unified Parquet data structures for streamlined processing by the data lake pipelines
• Prepare data lake datasets for export in versatile formats such as XML, JSON, CSV, to be sent to external systems, ensuring compatibility and accessibility
• Design and implement POCs for a low-latency data integration solution using PostgreSQL as a backend, enabling interactive use of certain data lake datasets by users in SAP C4C
  

- DevOps Consultant working in a team of highly skilled developers and engineers creating cutting-edge digital products in the laboratory informatics space

-Tasks:

• Configuring and operating the continuous integration and deployment (CI/CD) pipeline for solutions based on a scalable microservices architecture.
• Responsible for maintaining, monitoring, and reporting systems both for the CI/CD pipeline and product Dev/QA/Prod deployments.
• Handover to new internal staff

- Goal: Build up a comprehensive service for business and IT people by combining different Microsoft Azure Services and other tools to provide a data lake with data processing capabilities. Huge datasets from different platforms are managed on this data hub.

- Tasks:

• Establish robust and performant pipelines using Python, Apache Spark within the Azure environment using Azure Databricks
• Implement quality checks on incoming data and perform quality assurance tests on the datasets and code
• Analyze business requirement in terms of data transformation in a qualitatively diverse data environment
• Consult business on best practices and technical effort in relation to product development and project achievements

- DevOps Consultant working in a team of highly skilled developers and engineers creating cutting-edge digital products in the laboratory informatics space

-Tasks:

• Configuring and operating the continuous integration and deployment (CI/CD) pipeline for solutions based on a scalable microservices architecture.
• Responsible for maintaining, monitoring, and reporting systems both for the CI/CD pipeline and product Dev/QA/Prod deployments.

• Leading the cloud team
• Participating in CAB
• Reporting to higher managers
• other organizational tasks

Design, develop and administrate IaaS private cloud platform based on RED HAT OpenStack Platform for academical customers.

• Provide appropriate cloud solutions for client requests
• POC: object storage from different vendors
• Logging, monitoring, and troubleshooting the cloud with different tools and frameworks such as ELK stack, Grafana, FluentD, and Sensu
• Successful design and implementation of an OpenStack test cluster for testing cloud activities such as upgrade
• Troubleshooting software-defined networking

• Design and develop a billing and user management system for the heiCLOUD project using
• Django, and Django Rest Framework.
• Design and Develop a materialized billing frontend using REST API, Python, HTML5, Javascript.

Develop and configure a web application for handling
administrative processes of Ph.D. students.

• Full-Stack Developer: develop backend (Node.js), frontend (AngularJS), and REST API.
• Develop features requested by clients for heiDOCS processes.
• Fixing bugs reported by clients.
• Cooperation with a third-party company for further development of heiDOCS project.