Beschreibung

Berlin-based Senior Data Platform Engineer with a

Physics MSc (ETH/EPFL track) and 5+ years building

data platforms on GCP. I specialize in the platform &

infrastructure layer—GKE/Kubernetes, Dagster/Airflow

orchestration, Terraform IaC, CI/CD, and secure APIs

(FastAPI/Cloud Run)—so data and product teams can

deliver reliably at TB/day scale with strong governance,

observability, and cost awareness. I enjoy partnering

closely with teams, turning requirements into resilient

systems, and raising engineering standards through

pragmatic collaboration and mentoring.

Sprachen

Englisch
Muttersprachlich oder zweisprachig
Deutsch
Muttersprachlich oder zweisprachig
Französisch
Konversationssicher
Spanisch
Konversationssicher

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 50 km)

9 Friendly White Rabbits,
Data Platform Engineer
Januar 2021 - April 2024 (3 Jahre und 3 Monate)
Berlin, Germany
• • Prototyped (PoC) a GDPR-aligned RPO role–profile matching engine on Cloud Run with a lightweight Streamlit UI, using LLM-based semantic matching; authored the information security & data protection concept and aligned it with the CISO
• • Established engineering practices (coding standards, branching/PR reviews) and mentored teammates via pairing and design sessions within a 5–7 person team
Google cloud Python Docker BigQuery
Infomotion GmbH,
Senior Data Platform Engineer
April 2024 - Dezember 2025 (1 Jahr und 8 Monate)
Berlin, Germany
retail)
• • Built a multi-tenant BigQuery DWH (Dagster ingestion + dbt transformations) across 4–7 tenants and ~5–10 providers; daily freshness, ~5–10 TB/day
• • Delivered a layered architecture (raw → marts), cust om data catalog, and unified cross-provider layer (ID mapping + fuzzy matching in Python)
• • Implemented and operated self-hosted Dagster on GKE (dagster-daemon + user-code deployments) using Helm and Workload Identity, supporting 100– 500 jobs/day and TB/day per tenant
• • Designed and operated hybrid connectivity: GCP HA VPN to AWS site-to-site with BGP routing and CIDR range planning/reservations, ensuring stable cross cloud network connectivity for platform workloads
• • Shipped a secure, versioned partner API using FastAPI on Cloud Run with OAuth authentication, enabling external integrations
• • Standardized infrastructure and delivery: Terraform for IaC, GitHub Actions for CI/CD, and automated rollouts across 2 environments aligned with Google Cloud Foundation Toolkit best practices
BigQuery Google cloud GKE Terraform DBT
LHC, CERN,
Research Scientist
April 2018 - August 2020 (2 Jahre und 4 Monate)
Geneva, Switzerland
Large-scale analysis of non-relational data on distributed computing grid; Python/pandas ETL; scikit-learn; ML classifier; C++ contributions; Grafana dashboards for cluster monitoring