Cyril Laferriere

Senior Data & Product Engineer | Data Engineering

Salary / Daily rate

Paris, France

Freelance, open to permanent contract

Skills

Apache SparkProduct ManagementDatabricksData EngineeringPythonData AnalysisMachine LearningDeep LearningDjangoRCDevOpsPostgreSQLMarket ResearchPower BIGoogle Cloud PlatformDataikuData ScienceSQL QueriesDockerpandasscikit-learnFullstack DevelopmentMicrosoft SQL Server

Languages

English (Native)French (Native)German (Fluent)

About me

Intro

Data & Product Engineer with 8+ years bridging finance and engineering. Currently leading scalable data platform architecture at Quadratic using Python, Spark, and Databricks—transformed manual processes into automated, production-ready systems. Specialized in end-to-end ML pipelines, CI/CD automation, and translating complex business requirements into robust technical solutions that drive data-driven decision-making.

Links

Work experience

Quadratic

Sep 2023 - Present

3 years 2 months

Paris, France

Data & Product Engineer

Jan 2025 - Present

1 year 10 months

Paris, France

Technical Lead for the Architecture and Industrialization of the Finance Data Platform. I lead the engineering efforts to transform raw data into a production-ready environment, ensuring the platform is scalable and maintainable INFRASTRUCTURE & SYSTEM ARCHITECTURE Infrastructure Engineering: Architected the industrialization of the Dataiku environment, configuring Spark, S3, and Databricks integrations to support high-performance data processing. Scalable System Design: Designed a modular project architecture that ensures system stability, ease of maintenance, and seamless integration with the broader enterprise data ecosystem. DEVELOPMENT & DATA ENGINEERING End-to-End Workflow Engineering: Engineered robust data pipelines using Python, Spark, and SQL, bridging disparate data sources into a unified, queryable production environment. Process Automation: Developed automated reporting engines that eliminated manual data handling, ensuring high-fidelity outputs for critical financial decision-making. PROJECT MANAGEMENT & STAKEHOLDER COLLABORATION Technical Specification: Acted as the bridge between technical execution and business requirements, translating complex finance needs into high-level system specifications. Engineering Best Practices: Established a library of reusable code, recipes, and documentation, introducing software engineering standards to the finance team to ensure long-term system autonomy. IMPACT System Reliability: Delivered an industrialized data environment that transitioned the department from manual spreadsheets to automated, data-driven decision-making. Granular Margin Analysis Enablement: significantly increased data granularity for analysis of operational margins by the finance teams.

Junior Data Scientist

Sep 2023 - Dec 2024

1 year 4 months

Paris, France

Focused on the development of impactful data products across financial services and luxury retail. I specialized in bridging machine learning modeling with robust data engineering and automated deployment pipelines. SYSTEMS ENGINEERING & MODELING (BANQUE CALÉDONIENNE D'INVESTISSEMENT) End-to-End Model Engineering: Architected and deployed a production-ready credit risk scoring system (Logistic Regression, Ensemble methods) to modernize portfolio monitoring. System Validation: Engineered the full data lifecycle, including automated collection, cleaning, and feature engineering, with performance validated through rigorous statistical backtesting. Cross-Functional Integration: Collaborated with Risk, Compliance, and IT teams to ensure the system met strict regulatory standards and integrated seamlessly with legacy bank infrastructure. INFRASTRUCTURE & CI/CD AUTOMATION (LVMH) DevOps for Analytics: Designed and implemented CI/CD pipelines for Power BI projects, introducing automated linting and testing to ensure project portability and governed deployments. Open Source Contribution: Enhanced the Tabular Editor open-source project to improve Linux compatibility, directly improving the developer experience and integration workflows. Workflow Optimization: Empowered analytics teams with developer-centric workflows that improved system reproducibility and data governance.

TECHNICAL PIVOT & VENTURE BUILDING

Entrepreneur FirstFreelance

Sep 2021 - Aug 2023

2 years

Paris, France

Dedicated two-year period of intensive technical upskilling and entrepreneurial exploration, transitioning from finance leadership to engineering. ENTREPRENEUR FIRST | ENTREPRENEUR IN RESIDENCE Venture Validation: Selected for the Station F accelerator (batch of 60) to iterate on deep-tech business models. Technical Prototyping: Prototyped projects in API aggregation and solar manufacturing, conducting deep market research and technical feasibility studies alongside experts in AI and physics. Market Discovery: Validated product-market fit through intensive interviews with potential clients and partners in the AI and software sectors. IMMERSIVE ENGINEERING TRAINING (42 & LE WAGON) Computer Science (42): Focused on low-level programming, algorithmic complexity, and systems engineering in a peer-to-peer environment. Data Science (Le Wagon): Completed an intensive program covering the end-to-end Machine Learning lifecycle and data science. Full-Stack Development (Amis d'Etretat): Architected and built a web application project to master backend design, database management, and user interfaces.

Director of Finance

Yespark

May 2020 - Oct 2021

1 year 6 months

Paris, France

Acted as both Finance Director and Revenue Engineer, building the technical stack to manage growth and optimize pricing. I bridged the gap between financial strategy and software development by delivering automated tools for pricing and sales prospection. ALGORITHMIC PRODUCT DEVELOPMENT Dynamic Pricing Engine: Designed and implemented dynamic pricing algorithms for a portfolio of 2,000+ parking assets using time-series data analysis. Predictive Sales Tooling: Developed a revenue projection model to optimize portfolio expansion by predicting parking profitability based on geospatial and historical data. Data Infrastructure: Engineered the integration of financial data into a queryable SQL database, building custom analytics dashboards to drive cross-functional decision-making. FINANCE & SYSTEMS ARCHITECTURE Stack Modernization: Built and maintained the full finance and admin tech stack, integrating SaaS solutions for automated cash processing (€1M+/month), procurement, and payroll. Business Intelligence: Established a robust reporting framework, including automated cash reports and live business plan updates to monitor company performance. LEADERSHIP & OPERATIONS Strategic Management: Managed a diverse team of external providers (legal, accounting, consultants) and internal office management. Revenue Leadership: Served as the Revenue Officer, directly aligning technical model outputs with top-line growth strategies.

Senior Consultant - Financial Due Diligence

EIGHT ADVISORY

Sep 2016 - May 2020

3 years 9 months

Paris Area, France

Led cross-functional teams of experts on high-stakes financial due diligence for deals ranging from €1M to €1B. I specialized in synthesizing massive datasets within time-sensitive transaction environments to provide C-suite stakeholders with critical performance insights. Team Leadership: Managed and mentored junior consultants and experts to deliver complex financial reports under rigorous transaction deadlines. Data Synthesis: Analyzed large financial and operational datasets to evaluate business plan viability and historical performance for carve-outs and disposals. Stakeholder Management: Collaborated directly with CEOs, CFOs, and CTOs to validate data and align on strategic transaction objectives. Operational Expansion: Contributed to the strategic setup of the London and Frankfurt offices, managing procurement and commercial development.

Internal Auditor

Vallourec

Jul 2015 - Oct 2015

4 months

7620 Paris, Denmark

Involved in a 3 months transversal audit of the company's savings plan, covering most of the group's activities, in a context of falling oil prices

Operations - Settlement

Morgan Stanley

Jul 2014 - Jul 2015

1 year 1 month

Frankfurt Rhine-Main Metropolitan Area

As a member of the settlements team, I worked on all back-office aspects of interbank transactions / flows. This included working in close contact with the different parts of the bank, but also with different external organisations, mainly clearing houses (clearstream, euroclear) and transaction counterparts.


Education

42 Paris

Computer Science

2023 - 2024

1 year 5 months

Low-level programming with C and C++. This deep dive into system-level development enhances my understanding of software-hardware interactions and builds a strong foundation for future technical challenges.

Le Wagon

Data Science

2023 - 2023

4 months

Intensive program covering data science fundamentals, advanced analytics, and machine learning. Key skills: - Python for data analysis - Statistics and probability - Machine learning (supervised & unsupervised) - Deep learning and natural language processing (NLP) - Data engineering and APIs - Data visualization and storytelling The course ended with a two-week AI project where we built an app to test pictures for DeepFakes (CNN classifiers leveraging transfer learning)

University of Bath

Bachelor of Science (BSc), International Management and German

2012 - 2016

4 years 1 month


Licenses & certifications

Advanced Designer

Issued: Dec 2024

Certified by Dataiku

Developer

Issued: Dec 2024

Certified by Dataiku

Data Science Bootcamp

Issued: Jun 2023

Certified by Le Wagon

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