What I do
I work with data as a consultant, which means I usually have to cover several aspects of the data chain
Data engineering
This has been my focus for the last couple of years. I work mainly with 
Google Cloud Platform (GCP) setting up data warehousing pipelines to 
BigQuery
Dataflow to avoid re-inventing the wheel
python Cloud Functions+Scheduler+PubSub when custom work is needed
SQL & scheduled queries + partitioning to create efficient data models ready for reportingWhen it comes to python I obviously work with common libraries (pandas, numpy, more recently polars). I have also worked with 
Airflow in the past although always found it to be overkill for most use cases. Lately I have had a lot of fun playing around with 
dagster.
Data collection
For years I used to setup web analytics data collection using tools such as 
Segment,
Amplitude,
Google Tag Manager,
Google Analytics,
Mixpanel etc... However due to increasing privacy regulations (e.g. GDPR) and tracking prevention (e.g. Safari ITP, Firefox ETP, Chrome plugins etc...), this has become less and less fun to do so I have stopped and focused on data warehousing instead.
Data visualization / BI
For clients I have been delivering reports mostly with 
Power BI as it integrates nicely with BigQuery and brings the power of DAX. On some ocassions I will build lightweight dashboards in 
Looker Studio and
Google Colab if my clients don't mind coding and want something more flexible. Privately I have have a huge amount of fun experimenting with 
streamlit.
Data science
This is what I love the most, but I use it mostly for personal projects as I feel there's lot I still need to learn to be good at it and offer such services to my clients. For instance I have had some success using 
scitkit-learn to build a heraldry classifier / search model, used some 
huggingface models to work with text and images.
Work / Consultancy experience
I started working in network engineering, and progressively made my way to the data world via Cloud infrastructures which got me to work for Digital companies, working in marketing teams on analytics. In 2015 and have been working as consultant on data engineering (collection, warehousing) ever since.
As a consultant, my main experiences have been (some of which still ongoing):
As an employee, my main experiences have been:
And some internships during my studies:
Testimonials
From colleagues and clients over the years (see them on Linkedin):
VP Portfolio Mgmt, RELX
"Very talented guy who knows a lot about web analytics. Able to communicate this in a relevant story to every level."
Global Head of Ecom, WABCO
"Combines the rare skills of data, business accruement and technical expertise that is not easy to find."
Head of Growth, Resonance AI
"No-bullshit advisor, passionate about Analytics and expert in Lean methods. Love the mindful but straightforward style."
Digital Marketing Director, StuDocu
"Worked together in eBusiness for 2 years. His attention to details and data-driven mindset was an asset missed in our department."
Education / Certifications
I started with computer/telecom studies, and lately have been focusing more on data science:
About me
French, late 30's, living on the west coast of France (Saint-Jean-de-Monts) after a 15-year expat life:
