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Thomas LeblayTL

Thomas Leblay

Data Engineer AWS | Retail 🛒 Sport âšœ Media đŸŽ™ïž

€550/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Thomas

Welcome to my Malt profile! 🙂

My name is Thomas, and I've been a Data Engineer for over 5 years.

My professional journey has allowed me to contribute to three significant projects in various work environments:

✅ CANAL+
Leveraging my accumulated experience, I was tasked with developing numerous data ingestion, transformation, and provisioning pipelines for our partners and Marketing department. Scalability, robustness, and GDPR compliance were paramount to meet the growing needs and data volume explosion, driven by the recent acquisition of Multi-Choice.

✅ DECATHLON
In collaboration with Data Engineers and Data Analysts, I participated in the development and maintenance of the backend for the Decat'club loyalty program. Specifically, I focused on collecting and formatting member activity data, making it available to marketing analysts.

✅ SOCIÉTÉ GÉNÉRALE
I joined a team responsible for developing an anti-fraud application. Working alongside the team's Data Engineers and Data Scientists, my role was to develop and monitor fraud detection jobs related to bank transfers.

━━━━━━

My adaptability, rigor, and eagerness to learn in areas I'm passionate about are traits that particularly define me.

Feel free to contact me for any additional information or to discuss a potential collaboration.

Looking forward to collaborating with you,
Thomas
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 20km), Rennes (up to 50km), Nantes (up to 50km)

Experience

  • CANAL+
    Data Engineer
    ENTERTAINMENT AND LEISURE
    March 2024 - Today (2 years and 3 months)
    Paris, France
    Collection and processing of subscriber consumption data on the Canal+ platform.

    MISSIONS:
    ‱ Development of generic pipelines dedicated to processing and sharing subscriber consumption data with our partners. (DBT / Snowflake / Airflow / AWS S3 / Terraform)
    ‱ Processing of event data related to customer experience quality on the Canal+ platform. (Spark Scala / Airflow / AWS EMR, S3, Batch, Athena, DynamoDB)
    ‱ Corrective maintenance and redesign of our pipelines, by consumption vector (OTT, SAT, LIVE / REPLAY, ...). (Spark Scala / Airflow / AWS EMR, S3, Batch, Athena, DynamoDB)
    ‱ Monitoring and analysis of consumption peaks/troughs reported in our pipelines. (DBT / Snowflake)
    ‱ Implementation of GDPR compliance (AWS Secrets Manager)
    ‱ Continuous documentation of fixes and improvements made.
    Amazon Web Services Spark Scala DBT Airflow
  • Decathlon
    Data Engineer
    SPORTS
    January 2023 - December 2023 (11 months)
    Paris, France
    Development of the backend for the Decat'club loyalty program.

    Collection of data related to program members' activities (purchases, reviews, sports practices), calculation of loyalty points, and making them available for marketing purposes.

    MISSIONS:
    ‱ Development and deployment of micro-services (Scala/Spark and Kafka) to filter activities of professional members. Unit and non-regression testing.
    ‱ Processing of member data in batch and in real-time, stored on Amazon S3 and Amazon Redshift.
    ‱ Scheduling of our jobs on Airflow.
    ‱ Migration of our Airflow jobs to a new cluster (AWS CodeArtifact, Amazon ECR), CI/CD review with GitHub Actions.
    ‱ Monitoring of existing jobs on Datadog.
    ‱ Analysis of our tables (Amazon Redshift / SQL), problem-solving related to loyalty point distribution.
    ‱ Modeling of our Redshift tables.
    Scala Spark SQL Airflow Amazon Web Services
  • SociĂ©tĂ© GĂ©nĂ©rale
    Data Engineer
    BANKING AND INSURANCE
    September 2021 - December 2022 (1 year and 3 months)
    Paris, France
    Development of an application for anti-fraud efforts, covering all banking operations across all scopes.

    Collection of bank transactions, transformation, and provision to Data Scientists and the application.

    MISSIONS:
    ‱ Development and deployment of micro-services (Scala/Spark and Kafka) covering new scopes. Unit and non-regression testing.
    ‱ Processing of transactions in batch and streaming, stored on Hadoop and HBase.
    ‱ Implementation of Data Scientist models in our jobs.
    ‱ Scheduling of our jobs on Control-M.
    ‱ Monitoring of jobs (Python / PySpark): checking their proper execution, identifying root causes, and applying fixes.
    ‱ Implementation of an emailing system in case of job failures.
    Scala Spark Python Jenkins Kafka

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Education

  • Computer Science & Engineering
    Politecnico di Milano (Italy)
    2021
    Semestre d'études dans le cadre du programme Erasmus
  • Computer Engineering and Statistics
    Polytech Lille
    2021

Certifications

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