FreelanceDataEngineer&ArchitectinParis
I design and build production-grade data platforms for companies that need reliable infrastructure, not another strategy deck. Snowflake, dbt, cloud migrations, data governance: delivered hands-on, from architecture to deployment.
What I deliver
Data services built for production
Every engagement ends with something running in production, not a slide deck waiting for approval.
Data platform architecture
End-to-end design of your data layer: warehouse structure, ingestion patterns, transformation logic, and cost controls. I work with Snowflake and Databricks depending on your constraints, typically with dbt for transformation and Azure or AWS for infrastructure.
Data pipeline engineering
Reliable, tested pipelines that your team can maintain after I leave. I build with dbt for transformation, Automic or Azure Data Factory for orchestration, and Qlik Replicate/Compose or custom Python connectors for ingestion.
Data governance & quality
Data contracts, lineage tracking with Microsoft Purview, automated dbt tests, and documentation on Confluence that actually gets maintained. I set up the guardrails so your analytics team can trust the numbers without pinging engineering every morning.
Migration & modernization
Moving from legacy on-prem databases to cloud-native platforms without breaking dashboards or losing historical data. I handle the mapping, validation, parallel runs, and cutover planning. I've migrated Informatica pipelines to Azure Data Factory and legacy SQL Server stacks to Snowflake.
Analytics infrastructure
Self-service BI setup, dashboard architecture, and real-time monitoring tools that scale beyond a single analyst. I've built dashboards in Tableau, Power BI, and Qlik Sense, plus custom monitoring apps with Python Streamlit.
How I work
From first call to production handoff
I deliver working systems, not consulting reports. Every engagement follows a clear path with checkpoints your team can see.
Discovery & audit
I map your current data landscape, identify the real bottlenecks (not the ones in the brief), and define what 'done' looks like. This usually takes 3-5 days and produces a concrete architecture proposal.
Discovery & audit
I map your current data landscape, identify the real bottlenecks (not the ones in the brief), and define what 'done' looks like. This usually takes 3-5 days and produces a concrete architecture proposal.
Architecture & decisions
I document the target architecture, key technical decisions, and tradeoffs, then walk your team through them. No black-box design: every choice has a written rationale your engineers can challenge.
Architecture & decisions
I document the target architecture, key technical decisions, and tradeoffs, then walk your team through them. No black-box design: every choice has a written rationale your engineers can challenge.
Build & iterate
Hands-on implementation with weekly demos. I write the code, set up the infrastructure, build the tests, and keep your team in the loop. No surprise reveals after 3 months of silence.
Build & iterate
Hands-on implementation with weekly demos. I write the code, set up the infrastructure, build the tests, and keep your team in the loop. No surprise reveals after 3 months of silence.
Handoff & autonomy
Documentation, knowledge transfer sessions, runbooks, and a clean codebase your team can own. I stay available for questions during the transition, but the goal is full autonomy, not dependency on me.
Handoff & autonomy
Documentation, knowledge transfer sessions, runbooks, and a clean codebase your team can own. I stay available for questions during the transition, but the goal is full autonomy, not dependency on me.
Who I work with
Teams that need senior data execution
I work best with teams that have a real business problem and need someone who can both architect the solution and write the code.
Scale-ups hitting data ceiling
Your product works, your user base is growing, but your data stack was built for 10x less volume. Dashboards are slow, pipelines break on weekends, and the data team spends more time firefighting than building. I restructure the foundations so you can scale without rewriting everything.
CAC 40 & enterprise transformation
Large organizations migrating to cloud-native data platforms or modernizing legacy BI stacks. At Pernod Ricard, I supervise a Snowflake/dbt ecosystem with medallion architecture serving critical financial data 6x/day. At Air Liquide, I led a Data Catalog rollout (300K€/year) and a Data Portal for 500+ data scientists across continents. I understand governance requirements, stakeholder alignment, and enterprise delivery pace.
Startups with data debt
You built fast, shipped the product, and now realize your data layer is a collection of ad-hoc scripts and manual exports. I come in, audit what exists, and build the minimum viable platform that gives your team reliable data without over-engineering.
Frequently asked questions