À propos de Yrieix
Hey there 👋
I am looking forward to hear about your project to help you improve your impact and your business thanks to data engineering. From data gathering, to business insights, I can help you to leverage the value of your data, and to monitor your ROI.
I have several experiences in small and large teams, for small and big data. I can start from scratch or improve your existing tools.
Feel free to connect to talk about your challenges.
Best regards
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Paris 13e Arrondissement (jusqu’à 10 km), Grenoble (jusqu’à 10 km)
Expériences
- TimeleftData Engineer - Data ScienceRÉSEAUX SOCIAUXdécembre 2021 - février 2022 (3 mois)Hired to initiate the data-driven culture within the startup:• A/B testing framework integration,• Data pipelines creations to help colleagues/C-levels/shareholders to monitor our KPIs,• Recommendation algorithms implementation
- TimeleftData EngineerRÉSEAUX SOCIAUXnovembre 2021 - novembre 2021 (1 mois)Creating the company road map to have a cloud infrastructure able to answer its needs.Plug the first automatic KPIs report directly within the slack of the company.
- MyTrafficData EngineerEDITION DE LOGICIELSseptembre 2020 - décembre 2021 (1 an et 3 mois)Paris, FranceThe Data Engineering team offers insights about human traffic over 8 European countries to MyTraffic customers (retailers, city managers and marketing managers).The day to day job consists into:- respecting the GDPR requirements - CNIL Audit passed in March 2021- working closely with the data scientist team to challenge, test and industrialize algorithms- improving and maintaining our data pipelines (routines, staging processes...)- keeping our code base efficient and clean (unit tests, code reviews, respecting best practices...)- processing Terabytes of mobile phone data to keep our product up to dateTechnologies: Python, Spark, Scala, AWS (EMR, EC2, IAM, Athena, Glue), Terraform, Docker, Bash
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Formations
- Mastère spécialisé Big Data et Machine LearningTelecom ParisTech2019Systèmes répartis Statistiques Bases de données NoSQL Algorithmes distribués pour le Big Data Machine learning avancé Visualisation d’informations L’écosystème Big Data Internet des Objets