Quentin MEYER

Senior AI & Data Consultant | Data Engineering

Salaire / Taux journalier

Lille, France

Freelance

Peut venir sur site

Expertises

PythonData EngineeringETLSnowflakePower BIGitAzureDevOpsGoogle Cloud PlatformTableauRequรชtes SQLDockerGoogle BigQueryDatabricksBase de donnรฉes SQLdbt

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ร€ propos

Introduction

Senior Data Engineer & AI consultant with 12+ years specializing in cloud data architecture and migrations. Led complex data transformations across banking, luxury, and fintech sectors with expertise in GCP, Azure, Snowflake, and modern ETL/ML pipelines. Transform your data infrastructure with proven solutions that drive business value and modernize legacy systems.

Liens

Expรฉrience de travail

EY

sept. 2021 - Prรฉsent

5 ans 2 mois

Lille, France

Manager AI & Data Consulting

mars 2025 - Prรฉsent

1 an 8 mois

Lille, France

Build data architecture, ingestion, pipelines and modeling. Help migration to modernize data environment. Luxury jewelry | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ Mar 2023 - current Paris, France โ€ข Data migration to centralize on the Data platform (GCP). โ€ข Migration BO to Power BI. โ€ข Ingest the data on the Data platform (GCP). โ€ข Build the model before using Power BI (Fabric capacity). ๐Ÿ”ง: GCP -> BigQuery, Storage, Cloud Run, Dataform and Dataproc, Terraform, Fivetran, Python, Azure DevOps, Data Galaxy, Microsoft Fabric, SQL

Senior Lead AI & Data Consulting

sept. 2023 - mars 2025

1 an 7 mois

Montrรฉal, QC, Canada

Construct and support data ingestion and pipelines, participate in exploratory data analysis during testing and deployment phases. Build models predictive and reporting to help the business activities. Financial Technology | Lead ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ Sep 2023 - Mar 2025 ๐‘‡๐‘œ๐‘Ÿ๐‘œ๐‘›๐‘ก๐‘œ, ๐‘‚๐‘›๐‘ก๐‘Ž๐‘Ÿ๐‘–๐‘œ, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Data migration to Snowflake โ€ข Build the modernized Data Architecture. โ€ข Create the template with ETL/ELT tool to ingest the data on Snowflake. โ€ข Build the Data Vault 2.0 with Wherescape. ๐Ÿ”ง: Azure Data Factory, Fabric, Azure Storage, Snowflake, Snowpark, Python, GitHub, Docker, Talend Studio, Active Batch, Power BI, SQL Server, SQL Banking Technology | Lead ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ Jun 2024 - ๐‘ƒ๐‘Ÿ๐‘’๐‘ ๐‘’๐‘›๐‘ก ๐‘‡๐‘œ๐‘Ÿ๐‘œ๐‘›๐‘ก๐‘œ, ๐‘‚๐‘›๐‘ก๐‘Ž๐‘Ÿ๐‘–๐‘œ, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Migration SAS code to Snowpark code โ€ข Support team to optimize Snowpark code (Data pre-processing and model). ๐Ÿ”ง: SAS, Snowflake, Snowpark, Python, GitHub, SQL

Senior AI & Data Consultant

sept. 2021 - oct. 2023

2 ans 2 mois

Montrรฉal, QC, Canada

๐๐š๐ง๐ค๐ข๐ง๐  ๐€๐ฌ๐ฌ๐ž๐ญ ๐ฆ๐š๐ง๐š๐ ๐ž๐ฆ๐ž๐ง๐ญ | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐ด๐‘๐‘Ÿ 2023 - ๐ด๐‘ขg 2023 ยท 5 ๐‘š๐‘œ๐‘  ๐‘‡๐‘œ๐‘Ÿ๐‘œ๐‘›๐‘ก๐‘œ, ๐‘‚๐‘›๐‘ก๐‘Ž๐‘Ÿ๐‘–๐‘œ, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Help to build the modernize Data Architecture. โ€ข Create the new scripts (Scala, PySpark, SQL) to integrate and analyze the Asset management business. โ€ข Draft the transfer knowledge transformation outside database. ๐Ÿ”ง: Amazon S3, Hive, Snowflake, Snowpark, Trino, Python, PySpark, GitHub, Jenkins, Apache NiFi, Jupiter Hub Dev, Tableau, SQL Server ๐ˆ๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ข๐š๐ฅ, ๐‘๐ž๐ญ๐š๐ข๐ฅ ๐š๐ง๐ ๐…๐จ๐จ๐ ๐ฌ๐ž๐ซ๐ฏ๐ข๐œ๐ž | ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐‘€๐‘Ž๐‘Ÿ 2023 - ๐ฝ๐‘ข๐‘› 2023 ยท 4 ๐‘š๐‘œ๐‘  ๐‘€๐‘œ๐‘›๐‘ก๐‘Ÿ๐‘’๐‘Ž๐‘™, ๐‘„๐‘ข๐‘’๐‘๐‘’๐‘, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Support the team to build the dashboard with ML model ๐Ÿ”ง: Python, Power BI Desktop, Power BI Service ๐๐š๐ง๐ค๐ข๐ง๐  | ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐ด๐‘๐‘Ÿ 2022 - ๐‘€๐‘Ž๐‘Ÿ 2023 ยท 1 ๐‘ฆ๐‘Ÿ ๐‘€๐‘œ๐‘›๐‘ก๐‘Ÿ๐‘’๐‘Ž๐‘™, ๐‘„๐‘ข๐‘’๐‘๐‘’๐‘, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Optimize scripts of controls. โ€ข Document and setting the migration the control queries in the new BI tools (Oracle BI) ๐Ÿ”ง: Oracle, PL/SQL, Power BI Desktop, Power BI Service ๐ˆ๐ง๐ฌ๐ฎ๐ซ๐š๐ง๐œ๐ž | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐น๐‘’๐‘ 2022 - ๐ท๐‘’๐‘ 2022 ยท 11 ๐‘š๐‘œ๐‘  ๐‘‰๐‘Ž๐‘›๐‘๐‘œ๐‘ข๐‘ฃ๐‘’๐‘Ÿ, ๐ต๐‘Ÿ๐‘–๐‘ก๐‘–๐‘ โ„Ž ๐ถ๐‘œ๐‘™๐‘ข๐‘š๐‘๐‘–๐‘Ž, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Create the table to track the outlier for the refund. โ€ข Expose the result in the dashboards ๐Ÿ”ง: Oracle, PL/SQL, Power BI Desktop, Power BI Service ๐€๐ฌ๐ฌ๐ž๐ญ ๐ฆ๐š๐ง๐š๐ ๐ž๐ฆ๐ž๐ง๐ญ | ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐‘‚๐‘๐‘ก 2021 - ๐ด๐‘๐‘Ÿ 2022 ยท 7 ๐‘š๐‘œ๐‘  ๐‘‡๐‘œ๐‘Ÿ๐‘œ๐‘›๐‘ก๐‘œ, ๐‘‚๐‘›๐‘ก๐‘Ž๐‘Ÿ๐‘–๐‘œ, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž โ€ข Create the pipeline between operational system and BI Server. โ€ข Create multiple view/report for the Cybersecurity asset (Vulnerability, IAM, Awareness & Training...) ๐Ÿ”ง: Tableau Prep Builder, Tableau Desktop, Tableau Server, Python

Maltem Consulting Group

avr. 2016 - aoรปt 2021

5 ans 5 mois

Montrรฉal, QC, Canada

Senior Data Consultant

dรฉc. 2018 - aoรปt 2021

2 ans 9 mois

Montrรฉal, QC, Canada

Led a team of data analysts and collaborated with cross-functional stakeholders to implement data management solutions, resulting in improved data quality and streamlined processes. ๐Œ๐ž๐๐ข๐š ๐š๐ง๐ ๐›๐ซ๐จ๐š๐๐œ๐š๐ฌ๐ญ๐ข๐ง๐  | ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ - ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ ๐‹๐ž๐š๐ - ๐๐ˆ ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ญ ๐ด๐‘๐‘Ÿ 2019 - ๐ฝ๐‘ข๐‘™ 2021 ยท 2 ๐‘ฆ๐‘Ÿ๐‘  4 ๐‘š๐‘œ๐‘  ๐‘€๐‘œ๐‘›๐‘ก๐‘Ÿ๐‘’๐‘Ž๐‘™, ๐‘„๐‘ข๐‘’๐‘๐‘’๐‘, ๐ถ๐‘Ž๐‘›๐‘Ž๐‘‘๐‘Ž ยท ๐ป๐‘ฆ๐‘๐‘Ÿ๐‘–๐‘‘ โ€ข Build the new BI Architecture for income of the company (hybrid model). โ€ข Create several dashboards base on OLAP model. ๐Ÿ”ง: T-SQL, Power BI Desktop, Power BI Service, QlikView, Tableau Desktop, MicroStrategy Desktop, Google Data Studio, Databricks, MSSQL, Oracle, MongoDB, GCP, Google BigQuery, Google Ads, Amazon S3, Amazon RDS, Amazon Redshift, SSAS, SSIS, R, Python, MDM, Visual Studio 2017 & 2019, Git, Bitbucket, SSMS, Azure Data Studio

Data Consultant

avr. 2016 - dรฉc. 2018

2 ans 9 mois

Lille, France

Support clients in the data projects. ๐“๐จ๐ฉ ๐Ž๐Ÿ๐Ÿ๐ข๐œ๐ž | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐น๐‘’๐‘ 2018 - ๐‘๐‘œ๐‘ฃ 2018 ยท 10 ๐‘š๐‘œ๐‘  ๐‘‰๐‘–๐‘™๐‘™๐‘’๐‘›๐‘’๐‘ข๐‘ฃ๐‘’-๐‘‘โ€™๐ด๐‘ ๐‘๐‘ž, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ๐Ÿ”ง: T-SQL, Stambia, QlikSense, Oracle, MSSQL, WebService REST/SOAPClient: Top Office Tools: T-SQL, Stambia, QlikSense, Oracle, MSSQL, WebService REST/SOAP ๐ƒ๐š๐ฆ๐š๐ซ๐ญ | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐‘‚๐‘๐‘ก 2017 - ๐ฝ๐‘Ž๐‘› 2018 ยท 4 ๐‘š๐‘œ๐‘  ๐‘…๐‘œ๐‘ข๐‘๐‘Ž๐‘–๐‘ฅ, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ยท ๐‘‚๐‘›-๐‘ ๐‘–๐‘ก๐‘’ ๐Ÿ”ง: PL/SQL, ODI, Talend, QlikSense, Oracle, DB2Client: Damart Tools: PL/SQL, ODI, Talend, QlikSense, Oracle, DB2 ๐‡๐€๐๐๐˜๐‚๐‡๐ˆ๐‚ | ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ - ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ ๐Œ๐š๐ง๐š๐ ๐ž๐ซ ๐‘†๐‘’๐‘ 2016 - ๐‘‚๐‘๐‘ก 2017 ยท 1 ๐‘ฆ๐‘Ÿ 2 ๐‘š๐‘œ๐‘  ๐‘…๐‘œ๐‘ข๐‘๐‘Ž๐‘–๐‘ฅ, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ยท ๐‘‚๐‘›-๐‘ ๐‘–๐‘ก๐‘’ ๐Ÿ”ง: PL/SQL, QlikView, SAP BI4, Stambia, ODI, OracleClient: HAPPYCHIC Tools: PL/SQL, QlikView, SAP BI4, Stambia, ODI, Oracle ๐‚๐€๐Œ๐€๐ˆ๐„๐” ๐ˆ๐๐“๐„๐‘๐๐€๐“๐ˆ๐Ž๐๐€๐‹ | ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐‘€๐‘Ž๐‘ฆ 2016 - ๐ฝ๐‘ข๐‘™ 2016 ยท 3 ๐‘š๐‘œ๐‘  ๐‘…๐‘œ๐‘ข๐‘๐‘Ž๐‘–๐‘ฅ, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ยท ๐‘‚๐‘›-๐‘ ๐‘–๐‘ก๐‘’ ๐Ÿ”ง: SQL, ODI, SAP BI4, QlikView

Data Consultant

Sopra Steria

dรฉc. 2012 - mai 2016

3 ans 6 mois

La Madeleine, France

๐€๐†๐Ÿ๐‘ ๐‹๐€ ๐Œ๐Ž๐๐ƒ๐ˆ๐€๐‹๐„ | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ - ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ ๐Œ๐š๐ง๐š๐ ๐ž๐ซ ๐ฝ๐‘Ž๐‘› 2014 - ๐‘€๐‘Ž๐‘Ÿ 2016 ยท 2 ๐‘ฆ๐‘Ÿ๐‘  3 ๐‘š๐‘œ๐‘  ๐‘€๐‘œ๐‘›๐‘ -๐‘’๐‘›-๐ต๐‘Ž๐‘Ÿล“๐‘ข๐‘™, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ๐Ÿ”ง: PL/SQL, ODI, QlikView, Oracle ๐ƒ๐„๐‚๐€๐“๐‡๐‹๐Ž๐ ๐…๐‘๐€๐๐‚๐„ | ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐ท๐‘’๐‘ 2013 ยท 1 ๐‘š๐‘œ ๐‘‰๐‘–๐‘™๐‘™๐‘’๐‘›๐‘’๐‘ข๐‘ฃ๐‘’-๐‘‘โ€™๐ด๐‘ ๐‘๐‘ž, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ๐Ÿ”ง: SQL, ODI, Oracle, Excel ๐ž-๐’๐ข๐’ ๐Ÿ“๐Ÿ—/๐Ÿ”๐Ÿ | ๐ƒ๐ข๐ ๐ข๐ญ๐š๐ฅ ๐“๐ซ๐š๐ข๐ง๐ž๐ซ ๐‘†๐‘’๐‘ 2013 - ๐ท๐‘’๐‘ 2013 ยท 4 ๐‘š๐‘œ๐‘  ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ๐ˆฬˆ๐ƒ๐Š๐ˆ๐ƒ๐’.๐‚๐Ž๐Œ๐Œ๐”๐๐ˆ๐“๐˜ | ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐‘‚๐‘๐‘ก 2013 ยท 1 ๐‘š๐‘œ ๐‘…๐‘œ๐‘ข๐‘๐‘Ž๐‘–๐‘ฅ, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ๐Ÿ”ง: SQL, ODI, Oracle ๐†๐ซ๐จ๐ฎ๐ฉ๐ž ๐‚๐จ๐Ÿ๐ข๐๐ข๐ฌ ๐๐š๐ซ๐ญ๐ข๐œ๐ข๐ฉ๐š๐ญ๐ข๐จ๐ง๐ฌ | ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ ๐ท๐‘’๐‘ 2012 - ๐‘†๐‘’๐‘ 2013 ยท 10 ๐‘š๐‘œ๐‘  ๐‘‰๐‘–๐‘™๐‘™๐‘’๐‘›๐‘’๐‘ข๐‘ฃ๐‘’-๐‘‘โ€™๐ด๐‘ ๐‘๐‘ž, ๐ป๐‘Ž๐‘ข๐‘ก๐‘ -๐‘‘๐‘’-๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’, ๐น๐‘Ÿ๐‘Ž๐‘›๐‘๐‘’ ๐Ÿ”ง: PL/SQL, SQL, ODI, SAS, Oracle, Netezza

Data Scientist

EOS France

mars 2012 - oct. 2012

8 mois

Wasquehal, France

Company: CONTENTIA End-of-studies internship: - Forecasting tool: forecast business receipts (language VBA and SAS) - Partner Score: record new partner client records - Marketing: etablish, identify and define a CONTENTIA customer Tools: SAS, SQL, Excel, VBA


Formation

Stambia

Level 1

2017 - Prรฉsent

9 ans 8 mois

University of Lille 1 Sciences and Technology

Master 2 Ingรฉnierie Statistique et Numรฉrique

2011 - 2012

2 ans

University of Lille 1 Sciences and Technology

Master 1 Ingรฉnierie Mathรฉmatique

2010 - 2011

2 ans

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