12/28/2024 updated
80 % partially available
Cloud Architect / Data Scientist - 5x GCP certified | Cloud Computing | Analytics | ML / AI
Schaan, Liechtenstein
Worldwide
Master of Science UZH in Computer Science, Information SystemsJavaScriptArtificial IntelligenceApache AirflowData AnalysisBusiness IntelligenceBigTable ImplementationsGoogle BigQueryCloud ComputingContinuous IntegrationInformation EngineeringDevOpsPython (Programming Language)Machine LearningData StreamingTypeScript
Python, Javascript / Typescript, Google Cloud, Cloud Architect, Data Engineer, Machine Learnning Engineer, Business Intelligence, Analytics, Cloud Computing, Cloud Engineer, Data Scientist, Data Analyst, BigQuery, Looker, Bigtable, Dataflow, Apache Airflow, Apache Beam, Kubeflow, Docker, Kubernetes, CI/CD, DevOps, GCP
Languages
GermanNative speakerEnglishFluentFrenchBasic knowledge
Project history
For a startup in the building services industry, I designed and implemented a robust and cloud-native Minimum Viable Product (MVP) on Google Cloud, following a microservice architecture approach and best practices for CI / CD. The product offers a REST API built with FastAPI and hence is following the OpenAPI standard.
Work with business and data teams to democratize and visualize data to enable data-driven decision making. Responsible for designing and developing data solutions such as data sinks, data pipelines and data warehouses using Google Cloud tools like Pub/Sub, Dataflow, BigQuery, Vertex AI, Data Studio, etc.
Design and integration of enterprise content management (ECM) solutions adapted to the customer's requirements and collaboration across the entire development lifecycle starting with requirements engineering up to implementation.