End-to-end
expertise across
the entire
data stack.
From raw pipelines to production-grade analytics and strategy — I help scale-ups build data functions that are reliable, scalable, and genuinely useful to the business.
About
With over a decade working across every discipline in data, I bring a perspective that most specialists can't — I can build it, analyse it, and explain why it matters to the business.
My background is a blend of mathematics and computer engineering, with graduate degrees from a leading technical university. That combination gave me a deep quantitative foundation and a bias for building things that actually run in production.
What makes me different is that I don't have a specialisation silo. Most data professionals are strong on either the engineering or the analytics side. I am fluent in both — I can design systems that are architecturally sound and analytically meaningful at the same time, and speak the language of every stakeholder in the room.
Credentials
Services
I engage as a hands-on consultant — embedded in your problem, not just advising from a distance.
Assess where your data function stands today, identify the biggest leverage points, and define a realistic roadmap to get to the next stage of maturity — whether you're just starting out or trying to scale.
Design and build reliable data pipelines, warehouse architecture, and data platforms. From ingestion to transformation to delivery — using dbt, Airflow, Snowflake, and modern open-source tooling.
Turn raw data into decision-ready insights. Define the metrics that matter, build centralised reporting cockpits, and establish a single source of truth your stakeholders can trust.
Predictive modelling, A/B testing frameworks, and experimentation infrastructure that turns hypotheses into decisions.
Data contracts, observability, masking, and quality frameworks that prevent trust from eroding at scale.
Hiring, structuring, and growing data teams. Coaching individual contributors and helping data leaders level up.
Tech stack
Writing
Most organisations invest in platforms, not processes. The result is expensive infrastructure and dashboards nobody trusts.
Coming soon →Hiring a data engineer before you have a data problem, or a data scientist before you have clean data — these are expensive mistakes.
Coming soon →The modern data stack grows faster than any team can evaluate it. Here's how to make tooling decisions you won't regret in eighteen months.
Coming soon →FAQ
The questions I get most often before a first call — engagement model, pricing, remote work, project length, and fit.
As an independent consultant on a retainer or a fixed-scope project. I embed in your team for the duration — joining stand-ups, code reviews, and stakeholder meetings — rather than advising from a distance. Engagements start with a short paid scoping conversation so we both confirm the work is the right fit before committing.
Day rates for retainers, fixed quotes for well-defined projects. Rates depend on scope, duration, allocation, and whether the work is remote, hybrid, or on-site. After the first scoping call you receive a written proposal with a clear price and deliverables — no surprises.
I'm based in Montréal and work remotely with clients across North America and Europe — with a particular focus on Germany and Munich, where I studied and previously worked. On-site visits at kick-off or for key workshops can be arranged when they add real value.
Most engagements run three to nine months at part-time or full-time allocation. Shorter focused audits (two to four weeks) are also available for clients who want a structured assessment of their data function before committing to a larger initiative.
Primarily early- and mid-stage startups, scale-ups, and SMEs that have outgrown ad-hoc analytics and need to put real data foundations in place. I also take on focused modernisation projects with established companies in financial services, insurance, healthcare, and mobility.
Contact
Whether you have a well-defined project or just a nagging data problem with no clear solution yet — I'm happy to have a no-commitment conversation to see if I can help.
info@laulou-data.com