About Bilel
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Experience
- CHRISTIAN DIOR COUTUREPrincipal Data Architect | GCPLUXURY GOODSJune 2023 - Today (3 years)Paris, FranceLeading the Data System Team (DST) at Christian Dior Couture — owning platform architecture, governance, security & FinOps at enterprise scale. Primary architect for GCP-based data infrastructure.🏗️ Architecture & Orchestration• Designed event-driven, batch & streaming patterns + DST Task Framework (Cloud Run services & jobs for enrichment, transfer & integration)• Built a custom GCP Execution Node Orchestrator — parallel job processing across multiple GCP projects, routing by criticality, execution time & dependencies. Eliminates saturation + ~5% cost saving.• Designed the DST Tools Framework — agentic AI platform for Data Engineers & Architects automating: data modeling, lineage, retro-documentation, data quality & backup.• Pre-configured GCP project templates (Product, Analytics) with embedded IAM & governance controls.⚙️ DevOps & IaC• ~10 Terraform modules: DBT/Dataform deployments, GCP provisioning & cross-project management.• CI/CD for data pipelines & infrastructure across all environments.🔐 Governance & Security• Two-mode data access (direct & indirect via authorized datasets/routines) + RLS combining IAM & BigQuery authorized views for per-user filtering at query time.• PAM, WIF (zero-trust), DataGalaxy, automated lineage, RGPD & CI/CD compliance controls.💰 FinOps• 15–25% GCP cost reduction: AI-driven forecasting, BigQuery on-demand pricing & execution node parallelization. Real-time dashboards via Looker.🤝 GCP Community• Guilds, guidelines & onboarding programs. Mentored 25+ engineers. Roadmaps to senior leadership.✅ Key Achievements→ Custom Orchestrator — in prod, smart routing by criticality & dependencies→ DST Tools Framework — agentic AI for the full data lifecycle→ Terraform Library — ~10 modules, full IaC & pipeline lifecycle→ RLS Engine — IAM + BigQuery layer, per-user filtering at query time→ FinOps — 15–25% GCP cost reduction→ WIF migration (in progress) — zero-trust identity on GCP
- CHRISTIAN DIOR COUTURETechnical Lead DataLUXURY GOODSDecember 2022 - May 2023 (5 months)Paris, FranceStepped into a full leadership role over a team of 25+ Data Engineers at Christian Dior Couture — driving technical standards, platform architecture and security hardening while delivering key data integration and modeling projects across multiple business domains. This role marked the transition from hands-on engineering to owning the technical roadmap and team quality bar.🏗️ DBT Architecture — Multi-Team & Multi-Domain• Designed a scalable DBT architecture enabling multiple business domains (Supply Chain, Enterprise Performance Management) to work concurrently on the same project — solving isolation, dependency management & deployment conflicts at scale.• Defined data modeling standards and layer conventions across domains, ensuring consistency and reusability across business units.• Delivered data models for Supply Chain and EPM domains, structuring staging, warehouse and data mart layers.🔐 Security & IAM Redesign• Redefined IAM roles across all stakeholders enforcing least privilege — reduced attack surface and tightened access boundaries.• Introduced custom IAM roles for external contributors scoped to data ingestion & consumption use cases.📊 Data Integration — Media & Marketing• Designed and delivered Fivetran integration pipelines for Meta, Google Ads, Snap, LinkedIn & Twitter.• Built the Media Dashboard — full ingestion via Fivetran + Dataform transformation (3-layer: staging, DWH, data mart) for marketing analytics.⚙️ Platform & DevOps• Improved CI/CD processes, redesigned Git flow for multi-team parallel development.• Implemented automated retro-documentation and cross-service health checks.✅ Key Achievements→ DBT multi-team architecture — concurrent domains, no conflicts→ Least privilege IAM redesign + custom roles for external contributors→ Media Dashboard — Fivetran to Dataform 3-layer pipeline→ Automated retro-documentation — continuous catalog accuracy
- CHRISTIAN DIOR COUTUREData EngineerLUXURY GOODSDecember 2021 - November 2022 (11 months)Paris, FranceData Engineer on the Dior Data Platform — combining design and hands-on development to build scalable ingestion and transformation pipelines across Retail, Sales & Product domains. Contributed to key architectural decisions including the migration to event-driven architecture and the first FinOps & performance optimization foundations.🏗️ Architecture & Pipeline Design• Proposed & implemented migration from Cloud Function triggers to Eventarc — event-driven architecture improving decoupling, scalability & maintainability. Adopted as platform standard.• Designed 4 generic workflow templates (batch, snapshot, messaging, event-driven) — adopted as platform standards across all domains.• Introduced containerization patterns and task parallelism to optimize performance & reduce cloud costs.• Contributed to architecture of new applications integrated with the Data Platform.📦 Data Engineering — Multi-Domain• Built end-to-end ingestion & transformation pipelines for Retail & Sales (Xpert, Cegid, Crystal, M3) and Product domains into BigQuery using DBT & GCP services (GCS, Cloud Run, Cloud Workflows).• Developed new pipelines via Azure Pipelines, extending platform scalability.• Developed and maintained Talend data integration pipelines for multi-source ingestion.📊 Monitoring, Observability & Early FinOps• Built Looker sanity check dashboards covering quota monitoring, alerting & platform health reporting.• Implemented monitoring & alerting framework — proactive detection of processing failures.• Laid first FinOps foundations: cost-aware design, task parallelism & performance-first architecture.✅ Key Achievements→ Eventarc migration — proposed & implemented, modernized platform processing model→ 4 generic workflow templates — adopted as platform-wide standards→ Looker sanity check dashboards — quota, alerting & health monitoring→ First FinOps & parallelism foundations
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Education
- Master's Degree in Data Sciences and Machine LearningFaculty Of Sciences of Tunis2018
Certifications
- Google Cloud Certified Professional Data EngineerGoogle Career Certificates2022
- Neural Networks and Deep Learningdeeplearning.ai2020