Data Engineer with experience designing scalable data platforms, cloud-native pipelines, and automation-driven infrastructures.
- π¦ Experience in fintech, healthcare, and regulated environments
- βοΈ Building cloud-native data platforms on AWS & GCP
- π Designing data pipelines, ETL/ELT and distributed processing systems
- π€ Exploring Agentic AI, RAG architectures and AI-powered data workflows
- βοΈ Strong focus on automation, reliability and observability
- π§ Passionate about distributed systems and data-driven architectures
- Designing scalable data platforms
- Building cloud-native data pipelines
- Data ingestion & transformation pipelines
- Cloud architecture (AWS / GCP)
- AI-powered data workflows (RAG / LLM integration)
- Observability & reliability for data systems
Tools, languages, and frameworks I enjoy working with.
| Java | Python | Scala | Docker | Kubernetes | AWS | GCP | Spark |
Data Engineering β’ Cloud Architecture β’ Distributed Systems β’ Data Platforms β’ Observability β’ Workflow Automation
I enjoy solving complex engineering problems where data, cloud, and intelligence intersect from building distributed data pipelines to designing scalable cloud-native data platforms.
Scalable data pipeline architecture using Kubernetes, Terraform and Spark.
Agent-based architecture for data workflows using LangChain, RAG and vector databases.
Monitoring infrastructure using Prometheus, Grafana and automation.
I'm available for missions involving:
β’ Cloud Data Engineering
β’ Data Platform Architecture
β’ Site Reliability Engineering
β’ AI / LLM Data Systems
Remote-friendly | Europe-based | English & French
