I design and own scalable analytics foundations that turn raw data into trusted, decision-ready insights. From ingestion to curated datasets, semantic layers and KPI governance, I build systems that scale with product, teams and business complexity.
With 15+ years of experience across SaaS, enterprise and consulting environments, I help product-led, remote-first companies build analytics systems that people actually trust and use. My work focuses on analytics engineering, platform ownership and metric reliability, enabling consistent decision-making across product and business teams.
I’ve held senior analytics engineering and consulting roles at companies including Docebo, Methode, Ascopiave and CEVA Logistics, working across SaaS and enterprise environments.
I’m less interested in trends and buzzwords, and more interested in systems that still work two years later.
Tools matter, but clear ownership, governance and trust matter more.
I approach analytics engineering as a long-term system, not a collection of dashboards or isolated pipelines. In practice, this means:
I care about analytics that:
I tend to work best with:
Building trust and consistency in product analytics
How explicit ownership and reliability-by-design turned fragile analytics pipelines into a dependable decision system.
Learn moreWhy decoupling event ingestion from analytics modeling was essential to scale product analytics without breaking metrics.
Learn moreHow a governed semantic layer replaced dashboard alignment with durable, reusable metric definitions.
Learn moreScaling analytics platforms sustainably
How warehouse sizing based on real query behavior enabled predictable performance and cost control at scale.
Learn moreWhy aligning platform growth with clarity of ownership and governance made analytics adoption sustainable.
Learn moreThings to avoid: common mistakes and anti-patterns that can hold you back.
The Flask Quiz App is an open-source web application designed to streamline the creation and administration of quizzes. Developed using the Flask framework in Python, this user-friendly platform allows users to effortlessly generate and take quizzes on a wide range of topics. Quiz creators can customize questions and answer options, while quiz takers can provide answers and receive instant feedback on their performance. With its MySQL database backend, user-friendly interface, and potential for future enhancements, the Flask Quiz App simplifies the quiz-taking experience for both educators and learners.
The geoClassy Python package was developed from the need of using GeoJSON files with OpenStreetMap data to classify points which GPS coordinates are known. Using the GeoJSON format as input, the package can also be used with files from sources different from OpenStreetMap.
Examples of use:
The project is based on reading prices from Amazon e-commerce platforms and to publish the greatest deals to segmented user groups (on Telegram channels and Facebook pages). At this moment there are three groups: users passionate by Lego bricks, owners of cats, owners of dogs. The tool is one hundred percent written in Python 3.x/MySQL and uses several APIs (including Product Advertising API, Telegram API, and Facebook Graph API).
The website provided a list of shipping fees from several parcel companies in Italy, based on the shipping location, the delivery location, the dimensions, and the weight of the box. Using this platform, casual shipping users could choose the cheapest solution based on the performance level described. I developed every part of the website (mainly in PHP, HTML, MySQL and jQuery) and also project the User Interface with complex controls (for example autocomplete of locations based on geolocation APIs). The project ended mostly because parcel services didn't have affiliation programs so it was very difficult to monetize the user's experiences.
I work on designing and evolving analytics foundations in product-led, data-heavy environments. My focus is on building systems that scale over time: trusted datasets, clear metric definitions, and analytics platforms teams can actually rely on.
Most of the analytics work I’m brought into starts when one of these things breaks:
This usually happens when analytics grows faster than its foundations.
I tend to work best in contexts where analytics is treated as infrastructure rather than reporting, and where senior ownership, long-term thinking and close collaboration with Product and business stakeholders are expected.
If you’re already questioning whether your current analytics setup will still work a year from now, we should probably talk.
You can reach me via:
Good analytics systems are built over time, through clear ownership and trust. If that’s what you’re aiming for, let’s talk.
