Nathan Brami

*Modeling & Transformation**: **Dataform**, **dbton **BigQuery**: structuring data warehouses for high-performance analytics.

• **Ingestion & Orchestration**: Support for migrating workloads to GCP and integrating new cloud resources, using appropriate tools: **Airflow**, **Workflows**, **Dataflow**, **Pub/Sub**, Cloud Functions

*CI/CD & Infrastructure as Code**: **Terraformfor reproducible infrastructure, CI/CD pipelines with Cloud Build, GitHub, or GitLab. Code isversionedandpackagedintoDockerimages ready for production.

• **Cost/Performance Optimization**: partitioning, clustering, monitoring, GCP FinOps, reliability of existing data flows

🤖 MLOps & GenAI

*LLM / RAG Model Industrialization(LangGraph, Vertex AI, Gemini), including Python packaging, testing, and deployment on Cloud Run / Kubernetes / GKE / Cloud Run Jobs with continuous monitoring

• Demo of a RAG AI assistant available on my website: nathan-brami.fr

Complementary Expertise

*Reliability & Governance**: data quality, security (**GDPR**). Experience with **S3nscompatible environments.*Product Vision**: data aligned with your **KPIsto secureROI

• Transversal **Technical Skills**: SQL, Bash, architecture committees, technical choice validation, advanced deep learning skills if needed
• **Teamwork**: comfortable with communication: I have worked in close collaboration with data, product, and tech teams to build solutions aligned with business challenges