Data-Uni is Meng Li — an independent data engineer available now for enterprise missions, bringing 15+ years of enterprise experience across Google Cloud, AWS, and Azure directly to your team, without the agency layers.
Based in Paris, France — available on-site for local missions and fully remote for teams anywhere in the world.
I plug in fast — that's the whole pitch.
An independent data engineer who embeds directly into your existing team — your tools, your ways of working, your sprint cadence — and starts shipping within days.
Enterprise-grade experience, available on your timeline — no agency layers in between.
Reliable data collection pipelines that capture the right data, at the right quality, from day one — across your marketing, sales, and operational systems.
No more guessing which sources actually feed your reports.
Learn more about marketing data integration →Production-ready pipelines that bring data from all your sources into a single, trusted, analysis-ready place — batch or real-time.
No more manual exports or broken spreadsheets feeding your reports.
Learn more about data engineering consulting →Hands-on guidance to build a modern, secure, and maintainable data architecture tailored to your goals, technology stack, and growth plans — whether you're starting from scratch or modernizing an existing platform.
Build it once, scale it confidently — avoid costly redesigns and platform migrations.
Learn more about Google Cloud data engineering →Production-ready machine learning and Generative AI, built on a trusted data foundation — transforming historical data into predictions, intelligent automation, and AI-powered business applications.
Move beyond dashboards — build AI systems that predict, automate, and act.
Learn more about LLM & Generative AI data platforms →Turn trusted data into a single source of truth for business metrics — from executive reporting to operational workflows, built for teams to explore and act on with confidence.
Give your team one trusted place to check the numbers, not five.
Built a cloud-native Customer Data Platform on Google Cloud to unify fragmented customer data across digital and transactional channels — enabling a single, trusted customer profile for personalization, analytics, and targeted engagement.
Customer identities from Google Analytics, Firebase, Salesforce, and CRM systems were resolved into a unified customer ID through a GCP and Dataform-based identity resolution pipeline, connecting anonymous digital behavior with known loyalty customers. A Vertex AI classification layer enriched anonymous users by automatically assigning interest segments such as women's fashion, family & kids, and dining, enabling more relevant customer journeys and campaign targeting.
The automated data pipeline continuously processes, updates, and maintains customer profiles, allowing marketing teams to:
10M+ unified customer profiles ready for personalized engagement — replacing fragmented data and guesswork with a scalable customer intelligence platform.
Learn more about CDP consulting →Designed and implemented a cloud-native Data Mesh architecture on AWS to decentralize data ownership while maintaining governance, consistency, and shared business intelligence across teams.
Marketing and Ecommerce teams gained the ability to build and operate their own independent data products and pipelines for Google Analytics, Shopify, and Klaviyo, using isolated workflows powered by AWS MWAA (Managed Workflows for Apache Airflow) and Lambda. A shared Snowflake + Treasure Data Customer Data Platform (CDP) layer provided a governed foundation for customer intelligence, enabling teams to share trusted data without creating dependencies between domains.
Architecture highlights:
Each team ships independently on its own timeline — reducing bottlenecks, accelerating delivery, and allowing Marketing and Ecommerce to innovate without blocking each other.
Learn more about Snowflake consulting →Need someone on the team fast, or want to test the fit first? Either works.
Join your existing tech team or project on short notice, ramp up fast, and start shipping.
Check AvailabilityA free 30-minute call to review your current data setup and sources, and flag quick wins — no obligation.
Book a Free Data AuditBring GA4, Ads, YouTube, and CRM data into one trusted place.
Discuss Your Marketing DataA scoped engagement to design and ship a production data pipeline.
Discuss Your PipelineTurn data you already have into dashboards your team will actually use.
Discuss Your DashboardsNo bench to staff, no sales cycle, no account team to assemble — I can start on short notice.
15+ years and 100+ enterprise projects, at a freelancer's speed and without a consultancy's markup or layers.
You work directly with the person doing the work — no account managers, no relayed requirements.
Data-Uni is Meng Li, an independent data engineer certified across Google Cloud and Microsoft Azure, with 15+ years delivering data platforms across Google Cloud, AWS, and Azure for global enterprise brands in luxury, retail, insurance, hospitality, and consumer goods. When you bring on Data-Uni, you get that experience directly, on your mission — no account managers, no hand-offs. Based in Paris, France, available on-site locally and fully remote for teams worldwide.
Tell me what you're working on and I'll get back to you within one business day about availability.