Rémy PATAILLOT
Lead data/analytics engineer
1 recommendation
Salary / Daily rate
1 person recommend
Paris, France
Freelance
Can come onsite
Skills
Languages
About me
Intro
Lead Data Engineer with 10+ years in data engineering and data science, specializing in BigQuery, Airflow, and dbt architecture. Successfully led teams to optimize financial data pipelines, implement complex machine learning solutions for legal text analysis, and deploy revenue management systems. Offering expertise in building scalable data platforms that transform business insights while maintaining highest standards in data quality and governance.
Work experience
Lead Data Engineer
IQVIA via TheodoFreelance
May 2025 - Feb 2026
10 months
Remote
Lead Data Engineer @ IQVIA (via Theodo) Led the architecture and development of a high-scale Identity Resolution pipeline on Databricks to identify Key Opinion Leaders (KOLs) within billions of scientific documents. Large-Scale Data Processing: Designed a PySpark-based system on Databricks to ingest and process billions of records (publications, trials, grants) for KOL identification. Entity Resolution & Data Complexity: Solved high-scale deduplication challenges involving significant homonymy and poorly formatted data using custom feature engineering and ML-based matching scores. Advanced Tech Stack: Implemented modern CI/CD workflows using Databricks Asset Bundles (DABs) and integrated Vector Proximity Search to match scientific abstracts at scale. Technical Leadership: Acted as the primary interface with clients while leading the dev team in coding core features, optimizing pipeline runtime for rapid iteration, and exposing final data products.
SFEIR
Oct 2021 - Dec 2024
3 years 3 months
Paris, France
Lead data engineer
Aug 2023 - Dec 2024
1 year 5 months
Paris, France
Moët Hennessy Financial team - Leading and upskilling a team of 4 data engineers on finance and HR-related projects - Technical referent and data solution architect on the Airflow, BigQuery, and dbt stack - Deploying, optimizing, and maintaining large-scale data pipelines, with testing and monitoring (Elementary) - Contributing to the evolution of Moët Hennessy’s data platform - Aligning data solutions with business needs, particularly for financial analysis (Profit & Loss, Stock valuation) and HR insights. - Creating a structured training program to upskill individuals on data topics and make them operational
Data Engineer
Oct 2021 - Jul 2023
1 year 10 months
Paris, France
Solocal Client insight team - Implemented business rules using Airflow, BigQuery, and DBT to enhance client insights, including turnover, seniority, and other key metrics, resulting in actionable data outcomes. - Designed and built technical architecture to support new business requirements. - Migrated existing BigQuery and Airflow pipelines to DBT for improved maintainability and scalability. - Optimized legacy pipelines for cost and performance through daily partitioning, clustering, and business rule refinement (FinOps best practices). - Implemented data quality testing and automated alerting using Airflow, DBT unit tests, and generic test frameworks.
StarClay
Jun 2018 - Oct 2021
3 years 5 months
Région de Paris, France
Data Scientist
Oct 2018 - Oct 2021
3 years 1 month
Région de Paris, France
LexisNexis • Find the paragraphs of appeal court decisions (unstructured text) where the judge made a decision Used model: Bi-LSTM + CRF (in Pytorch) • Determine the outcome of case law decisions from courts of appeal: Used model: ULMFit from fast.ai • Anonymization of legal decisions: Find surnames and adresses Used model: Spacy NER
Data Scientist
Jun 2018 - Oct 2018
5 months
Paris, France
Ponant (Cruise company based in Marseille) Revenue Management automatization: - Collected, cleaned, and transformed diverse data sources related to cruise trip pricing. - Defined a key metric to evaluate and compare human predictions against machine learning predictions. - Modeled, trained, and tested various machine learning algorithms (LightGBM, RNN, Random Forest, SVM) to predict daily cruise trip discounts using time-series data. - Delivered machine learning training sessions to Ponant employees, covering algorithm selection, model development, and practical applications.
Dialog engineer
SoftBank Robotics Europe
Oct 2013 - Jul 2018
4 years 10 months
Région de Paris, France
Goal: Improving conversational skill of humanoïd robots • Patent filing: Automatic customization of robot answer (to imitate way of talking of a famous character for instance or use a certain kind of vocabulary) without rewriting the content said by the robot. • Integration of a triple store using Resource Description Framework (RDF) system. o Store persistent data learned during a human-robot interaction and exploit them proactively during current and future conversations. o Rule based system to infer new triples using previously learned ones (using SPARQL). • Creation and implementation of a framework to integrate and combine several external chatbots to improve robot conversation abilities.
Internship : Researcher, enginner
KAIST
Feb 2013 - Jul 2013
6 months
Daejeon, South Korea
Neuro-Robotics laboratory : Development (C/C++) and tests of Reccurent Neural Networks
Internship : C++ developer in R&D (Intercation team)
Aldebaran Robotics
Jul 2011 - Dec 2011
6 months
Paris, France
- Application development to help autistc children improving their behaviour by interacting with the robot Nao - Using sensor fusion (mostly visual features algorithms combined with sound detection) in order for the robot to detect people in close environment. The robot created and updated a virtual map in order to interact intelligently with people.
Education
ISEP Paris
Engineering
2008 - 2013
5 years 1 month
Licenses & certifications
Professional Machine Learning Engineer
Issued: Jan 2023
Professional Data Engineer
Issued: Jan 2022
DeepLearning.AI TensorFlow Developer Specialization
Issued: May 2021
Generative Adversarial Networks (GANs) Specialization
Issued: Feb 2021
Apply Generative Adversarial Networks (GANs)
Issued: Feb 2021
Build Basic Generative Adversarial Networks (GANs)
Issued: Jan 2021
Build Better Generative Adversarial Networks (GANs)
Issued: Jan 2021
AI for Medical Prognosis
Issued: Oct 2020
AI For Medical Treatment
Issued: Oct 2020
AI for Medicine Specialization
Issued: Oct 2020
AI for Medical Diagnosis
Issued: Sep 2020
Data Engineering, Big Data, and Machine Learning on GCP Specialization
Issued: Feb 2019