18.11.2025 aktualisiert
Premiumkunde
nicht verfügbarCloud/Data Architect/Consultant, Hybrid/Cloud-native Software Architect/Consultant
Bad Homburg, Deutschland Master of Science
Skills
JavaAPIsAirflowAmazon Web ServicesCloud ComputingData ArchitectureETLData MigrationVertriebInfrastrukturPythonPostgresqlMysqlVorverkaufAnforderungsanalyseSoftwareentwicklungSolution ArchitectureDatenverarbeitungGoogle CloudDatenaufnahmeLarge Language ModelsBackend-programmierungKubernetesGoogle BigqueryGraphqlDaten-PipelineServerless ComputingDockerElixir
Design, implementation and deployment up to production of:
- LLM/RAG based applications and agents
- distributed software in an on-premise/hybrid/cloud setup, including servlerless
- data ingestion/processing, ETL/ELT pipelines
- migration of data processing systems into the cloud
- transition of infrastructure/applications into the cloud
Solution architecture design, requirements analysis, pre-sales, post-sales communication with the client.
- LLM/RAG based applications and agents
- distributed software in an on-premise/hybrid/cloud setup, including servlerless
- data ingestion/processing, ETL/ELT pipelines
- migration of data processing systems into the cloud
- transition of infrastructure/applications into the cloud
Solution architecture design, requirements analysis, pre-sales, post-sales communication with the client.
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
- Enabled additional laboratories to host their data in the protein development tracking system
- Improved robustness of the platform by introducing CICD based release and deployment process
- Designed the architecture of an AWS serverless system extension for research data integration
- Led offshore engineers, providing technical direction and coordination
- Designed and implemented cloud native service architecture and communication flows
- Converted a Retrieval-Augmented Generation (RAG) prototype into a scalable AWS serverless service using LangChain, Faiss, and OpenAI API
- Delivered infrastructure-as-code (IaC) with AWS CDK to ensure reproducible deployments
- Collaborated with frontend, backend, and DevOps engineers to meet both functional and non-functional requirements
- Designed and implemented GraphQL API, added infrastructure automation
- Designed and implement ETL/ELT on Apache Airflow, utilized GCP core services to build a Datalake based data platform
- Developed API client to be used in JVM projects
- Mentored junior engineers, guide them through tasks, help them understand technical landscape, tasks acceptance criteria, implementation options, develop relevant skills
Zertifikate
GCP Data Engineer
Google2025
GCP Cloud Architect
Google2018