Freelancer profile translated to English.

Description

Staff Engineer & Platform Tech Lead with 6 years of experience in designing and operating large-scale cloud-native data platforms.

Passionate about DevOps, DevSecOps, FinOps, Kubernetes, networking, and infrastructure — more than data itself.

Designed data platforms from scratch on GCP and Azure and leads the lakehouse strategy at Edenred Group (international presence). SRE responsibilities on business-critical platforms. Optimization of platform performance and costs, constituting over 40% of the total infrastructure cost.

Trainer for Cloud, Python & Deep Learning. Seeking opportunities in DevOps / Platform Engineering / Tech Lead roles.

Industry field of expertise

Languages

French
Native or bilingual
Arabic
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Edenred Group [PROMU]
Staff Data & Platform Engineer
July 2025 - Today (11 months)
Paris, France
▸ Enterprise-scale lakehouse architecture and strategy —
governance, security, operating model
▸ Platform Lead: data masking, RLS/CLS, secure inter-Business Unit sharing, Databricks Unity Catalog
▸ Databricks Asset Bundles: packaging, deployment, and versioning of Databricks resources in production
▸ Databricks One (Data Democratization): implementation of a universal platform for data sharing and access
▸ SRE: responsible for the stability of a business-critical platform — SLO, Datadog alerting, runbooks
▸ FinOps: significant optimization of Databricks/Azure cloud costs —
rightsizing and continuous budget monitoring
▸ DevSecOps: systematic code review, code security, access management, compliance and audit, implementation of validation rules
▸ Monitoring & Observability: Datadog (metrics, traces, logs, dashboards, end-to-end alerting)
▸ Azure Functions: event-driven for pipeline automation
▸ CRM <> Databricks integration (bidirectional): CRM data ingestion, transformation, secure data products
▸ Reverse ETL to CRM: push enriched data from the platform to Salesforce and HubSpot
▸ Secure architecture and integration with Braze and HubSpot (marketing automation)
▸ Streaming & batch data pipelines (Azure Event Hubs, Kafka / Confluent Kafka, Delta Live Tables, Spark Streaming)
▸ Global collaboration with Group data teams to define target architecture and standards
▸ Management and support of data, product, and marketing teams on the adoption of the lakehouse and AI
Databricks Big Data DevOps Data Engineer Cloud Engineer
Edenred France
Tech Lead
January 2025 - July 2025 (6 months)
Paris, France
▸ DevOps / IaC: automated deployment of infrastructure and network resources on Azure & AWS via Azure DevOps
▸ Technical Lead of the Databricks data platform at Edenred France: Unity Catalog, clusters, jobs, DLT
▸ CI/CD Azure DevOps for automating deployments and managing environments
▸ Semarchy MDM Migration: leading the migration of Master Data Management to the new platform
▸ Implementation of the data consumption strategy (Self-BI, AI, LLMs) from the lakehouse
▸ AI / LLM applications in production: RAG, Fine-tuning
▸ Onboarding new resources to the platform — documentation, training, best practices
▸ Data modeling, data masking, access and quality governance
DevOps Terraform Databases Big Data Databricks
Meilleurtaux
Data / Dev Ops / Engineer
November 2020 - January 2025 (4 years and 2 months)
Paris, France
▸ DevOps / IaC: automated deployment of infrastructure and network resources on GCP
▸ Data platform from scratch on GCP: complete design — ingestion, transformation, serving, governance
▸ GKE Infrastructure (Kubernetes): deployment and operation of Airbyte on GKE for multi-source ingestion
▸ Network & VPN: setting up VPNs and subnets between on-prem and GCP networks with the infra team
▸ Master-slave DB replication (MariaDB): resolving an Airbyte/MariaDB version conflict via VM in a private network — internal sync without HTTPS + encrypted Airbyte sync HTTPS (secure hybrid architecture)
▸ CI/CD: GitLab CI & GitHub Actions; IaC Terraform; virtualization
▸ Platform Orchestration: Cloud Composer (Airflow); dbt Core transformations; Docker Apps
▸ GCP Monitoring & Alerting: Cloud Monitoring, Looker Studio; Data Quality with Soda
▸ CDP (Customer Data Platform) integration and deployment: multi-solution POC (Segment, Imagino, HighTouch, Data Cloud) then complete integration with data modeling and marketing activation
▸ AI / LLM applications in production: RAG, Fine-tuning
▸ Custom Salesforce > BigQuery connector developed from scratch
▸ Snowflake, BigQuery, SQL/NoSQL databases; multi-source pipelines (SQL, APIs, flat files, CDC)
▸ Transformation scores (ML); NLP/sentiment analysis studies
Network Terraform DevOps Kubernetes Docker