Data Engineer
2022 - 2022PepsiCo via Toptal- Built a full data pipeline, from data ingestion (Python scripts) to scheduling (Airflow), Transformation (dbt), and visualization (ThoughtSpot).
- Enabled the project to move quickly with strong communication and project management. I ensured we could parallelize tasks as much as possible to reach deadlines.
- Built integrations with several data sources' APIs.
Technologies: Data Engineering, Apache Airflow, Snowflake, Python, Data Build Tool (dbt), SQL, Amazon Web Services (AWS), DatadogCTO
2022 - 2022CTO- Evolved from a blank page to an MVP with four customers and €1,000 MRR in four months.
- Interviewed 150+ people to understand their problems and find the right idea.
- Built a business plan, pitched, and successfully raised €100,000 pre-seed investments.
Technologies: TypeScript, NestJS, Next.js, Google Cloud Platform (GCP), React, ClickHouse, Airbyte, PostgreSQL, ETL, Roadmaps, Data Architecture, ArchitectureSenior Data Analyst
2021 - 2022Ankorstore- Built Ankorstore's main reportings while scaling from 40 to 500 employees in nine months.
- Onboarded and trained ten data analysts in four months.
- Participated in designing the data models together with the BI engineering team.
Technologies: SQL, Python, Google BigQuery, Dashboards, ETL, Big Data Architecture, Data Architecture, Roadmaps, ArchitectureSenior Data Analyst
2017 - 2021ManoMano- Identified and quantified the importance of browsing for DIY projects—like "renovate my bathroom" vs. "look for each product independently"—after which we created a new feature team.
- Led a three-person team to build and maintain the main reporting of the company.
- Trained 300+ employees in SQL and Tableau while managing two teachers.
Technologies: SQL, Python, Machine Learning, Amazon Web Services (AWS), Apache Airflow, Redshift, Snowflake, Web Scraping, Analytics, Google AnalyticsBusiness Analyst
2017 - 2017Amazon.com- Made a 3-month deep dive analysis on how Amazon should handle last-mile electric package deliveries and presented it to FR top management.
- Automated 20% of the work of business administrators.
- Created reports to follow Amazon's last-mile operations.
Technologies: Redshift, Business AnalysisProduct Analyst
2016 - 2017eBay- Partnered closely with product managers and feature teams to deliver insights. Analyzed AB test results and ran ad hoc analysis.
- Built an automated AB testing tool by taking raw Google Analytics data from BigQuery, computing statistical properties of each AB test, and displaying the results in Tableau.
- Set up a unified Google Analytics tagging plan across all eBay Classifieds Group (20 subsidiaries).
Technologies: Data Visualization, Data Analysis, BigQuery, Google BigQuery, Tableau, Product Analytics, Google Analytics
Florent Martineau
Data Scientist and Software Developer in Paris, France
Member since February 14, 2022
Florent is a data professional with five years of experience in marketplaces and data on tech companies like Amazon, eBay, and two French unicorns, Manomano and Ankorstore. He excels in providing strategic impact by analyzing problems through data and presenting the findings to executives. Florent also has extensive analytics engineering experience with Airflow, ETL, SQL, data modeling, and dashboarding.
Florent is now available for hire
Portfolio
- PepsiCo via ToptalData Engineering, Apache Airflow, Snowflake, Python, Data Build Tool (dbt)...
- CTOTypeScript, NestJS, Next.js, Google Cloud Platform (GCP), React, ClickHouse...
- AnkorstoreSQL, Python, Google BigQuery, Dashboards, ETL, Big Data Architecture...
Experience
- ETL 7 years
- Programming 5 years
- Dashboards 5 years
- Analytics 5 years
- Web Scraping 5 years
- Python 5 years
- SQL 5 years
- Entrepreneurship 3 years
Availability
Full-time
Preferred Environment
SQL, Python, Apache Airflow, TypeScript
The most amazing...
...insight I've had was finding an untapped, highly profitable user segment that led to dozens of millions of euros in additional sales when tapped.
Employment
Experience
- CoursetomiZed
I built a business plan for an adaptive learning app. The app adapts to the students' learning, namely the number of examples and the learning pace. This project won two business plan competitions, competing against more than 500 projects participating.
Skills
Languages
SQL, HTML, Python, JavaScript, Snowflake, TypeScript, CSSLibraries/APIs
React, Node.jsParadigms
ETL, Business Intelligence (BI), Database Design, Management, Data ScienceStorage
Database Architecture, Databases, PostgreSQL, Data Pipelines, Redshift, ClickHouse, DatadogOther
Dashboards, Data Analysis, Data Visualization, Data Engineering, Data Analytics, Reporting, Data Transformation, Data Warehousing, Business, Web Scraping, Analytics, Google BigQuery, Programming, Entrepreneurship, Data Architecture, Big Data Architecture, Roadmaps, Architecture, Front-end, APIs, Back-end, Mobile Analytics, Full-stack, Strategy, Statistics, Innovation, Machine Learning, Business Planning, Airbyte, Computer Vision, Data Build Tool (dbt), Finance, Web 3.0, CRM APIs, Product Analytics, Business AnalysisFrameworks
Flask, NestJS, Next.jsTools
Google Analytics, Tableau, Microsoft Excel, BigQuery, Apache Airflow, Microsoft Power BI, Power Query, FigmaPlatforms
Firebase, AWS Lambda, Google Cloud Platform (GCP), Amazon Web Services (AWS)
Education
- Master's Degree in Management2013 - 2017EDHEC Business School - France
- Postgraduate Program in Business Administration2016 - 2016Indian Institute of Management – Ahmedabad - Ahmedabad, India
