About Me

One freelance engineer. The whole data stack. No account managers.

Data-Uni is Meng Li — an independent data engineer certified across Google Cloud, AWS, and Microsoft Azure, with 15+ years of enterprise experience spanning Google Cloud, AWS, and Azure at the intersection of cloud data engineering and digital marketing analytics for global enterprise brands. I bring that same rigor directly to your team, on a freelance basis, available now.

Based in Paris, France, I work on-site with local clients and fully remote with teams anywhere in the world.

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Why Enterprises Bring In Data-Uni

When you need a senior data engineer on the team, you shouldn't have to run a full hiring cycle or staff up an agency team.

I combine over 15 years of enterprise data engineering experience with the availability and agility of an independent freelancer. I've built cloud data platforms for global brands, and now bring that same expertise to enterprise teams that need a capable engineer fast — on a mission, sprint, or team augmentation basis.

Whether you need a modern data warehouse, marketing data integration, machine learning pipelines, or executive dashboards, I deliver work that's reliable, scalable, and built around your business goals — starting as soon as you need it.

Enterprise Expertise. Without Agency Overhead.

Staffing agencies and large consultancies deliver capable solutions — but they often come with high costs, multiple layers of communication, bench time, and lengthy staffing cycles.

Data-Uni offers the same engineering expertise used by global organisations while providing the flexibility, speed, and direct collaboration of an independent freelancer. You benefit from enterprise-quality work without paying for a large consulting team or waiting on a staffing pipeline.

One Partner for Your Entire Data Platform

Modern data platforms involve many moving parts:

  • Data collection
  • API integrations
  • ETL / ELT pipelines
  • Cloud data warehouses
  • Data modelling
  • Machine learning
  • Dashboards and reporting

Many consultants specialise in only one of these areas, leaving clients to coordinate multiple vendors and manage complex handoffs.

Data-Uni designs and delivers the complete platform, ensuring every component works together from day one. One partner. One architecture. One point of accountability.

Cloud-Agnostic Expertise

Choosing the right cloud platform shouldn't depend on a consultant's preferred vendor.

With professional certifications across Google Cloud, AWS, and Microsoft Azure — including Cloud Architect and Machine Learning specialisations — we recommend technologies based on your requirements, existing infrastructure, budget, and long-term goals.

Whether you're building a new platform or modernising an existing one, you'll receive practical, unbiased recommendations designed around your business.

Where Marketing Meets Data Engineering

Collecting marketing data is easy. Turning it into reliable business intelligence is much harder.

Data-Uni has extensive experience building pipelines for:

  • Google Analytics
  • Google Ads
  • Meta (Facebook & Instagram) Ads
  • YouTube Reporting
  • Treasure Data CDP
  • Salesforce
  • CRM and customer data platforms

This unique combination of marketing technology and data engineering expertise means your analytics platform is designed around the questions your business actually needs answered — not simply around moving data from one system to another.

Learn more about marketing data integration → · Learn more about CDP consulting →

Built to Scale

Your data platform should support where your business is going, not just where it is today.

Having designed Customer Data Platforms and cloud data warehouses for internationally recognised brands, we build architectures that can grow alongside your business — handling increasing data volumes, additional integrations, and more advanced analytics without requiring a complete redesign.

Scalability is considered from the beginning, not added as an afterthought.

Work Directly with the Engineer

When you work with Data-Uni, you communicate directly with the person designing and building your solution.

There are no account managers translating requirements, no project coordinators slowing communication, and no unnecessary approval chains.

Questions are answered quickly, decisions happen faster, and projects move forward efficiently from discovery through deployment.

Practical Solutions, Not Over-Engineered Platforms

Technology should solve business problems — not create new ones.

We focus on delivering solutions that are maintainable, cost-effective, and aligned with your team's capabilities. Rather than introducing unnecessary tools or complexity, we recommend the simplest architecture that meets your current needs while providing room for future growth.

The result is a platform your team can understand, operate, and confidently build upon.

A Long-Term Data Partner

Launching a data platform is only the beginning.

As your business evolves, new systems, reporting requirements, and analytics opportunities emerge. Data-Uni provides ongoing support, enhancements, and strategic guidance to ensure your platform continues delivering value as your organisation grows.

We're invested in building lasting partnerships — not just completing projects.

Why It Matters

Choosing the right freelance engineer is about more than technical skills. It's about working with someone who understands both the engineering challenges and the business decisions that data supports, and who can start when you need them to.

At Data-Uni, you'll work with an experienced data engineer who has delivered enterprise-scale solutions across cloud platforms, marketing technologies, customer data platforms, and analytics ecosystems — bringing that expertise directly to your mission, available now.

Enterprise-quality data engineering. Freelance flexibility. Available now.

By the numbers

Backed by Meng Li's enterprise engineering career

15+ Years of Experience
100+ Enterprise Projects Delivered
11 Active Professional Certifications
Cloud Platforms GCP, AWS, Azure
Industries Served Luxury • Retail • Insurance • News & Media • Shopping Centers
End-to-End Delivery From ingestion to dashboards & ML
Languages Chinese (native), English (professional), French (professional)

11 active certifications across Google Cloud, AWS, Azure, Snowflake, and Treasure Data

Past certifications

Earned and applied on real projects — listed here for transparency now that they've lapsed.

Industries We've Worked In

Luxury

Unifying online and offline customer data without diluting the brand experience.

Retail

Connecting POS, e-commerce, and marketing data into one view of demand.

Insurance

Structuring policy and claims data for reliable reporting.

News & Media

Connecting subscriber, engagement, and content data into a single view of readership.

Shopping Centers

Connecting tenant, footfall, and loyalty data for a real view of demand across properties.

Have a mission that needs an extra data engineer?

Tell me what you're working on and I'll get back to you within one business day about availability.

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