Florian TREHAUT
À propos du candidat
As a Tech Lead Data Engineer and Cloud Architect, I bring deep expertise in developing innovative cloud solutions, primarily on Google Cloud Platform. My specialization in data engineering and cloud architecture enables me to effectively lead complex technical projects, focusing on creating scalable and efficient architectures.
My certification in Data Engineering, Cloud Architecture, and Machine Learning on GCP equips me with a strong foundation to design and implement advanced data analysis solutions. I excel at integrating machine learning into business processes, thereby enhancing data-driven analysis and decision-making capabilities.
My expertise also encompasses GDPR compliance, particularly managing the right to be forgotten on GCP BigQuery. This skill highlights my commitment to data security and regulatory compliance, ensuring the protection of sensitive information while adhering to current legal standards.
I am looking for missions with full remote possibility
Location
Travail & Expérience
Mission 1: DataMesh Platform for Moët Hennessy Objective: Development of a DataMesh platform on Google Cloud Platform. Technologies: GCP, Apache Airflow, Cloud Run, DBT, BigQuery, Cloud Function, PubSub, Datamesh. Design of a module for RTBF (Right to be Forgotten). Role: Technical Lead, Cloud Architect, and Data Engineer, overseeing the design, architecture, and engineering of the solution.Mission 1: DataMesh Platform for Moët Hennessy Objective: Development of a DataMesh platform on Google Cloud Platform. Technologies: GCP, Apache Airflow, Cloud Run, DBT, BigQuery, Cloud Function, PubSub, Datamesh. Design of a module for RTBF (Right to be Forgotten). Role: Technical Lead, Cloud Architect, and Data Engineer, overseeing the design, architecture, and engineering of the solution. Compétences : Règlement général sur la protection des données (RGPD) · DataMesh · Leadership technique · Google Cloud Platform (GCP) · Google BigQuery · Python (langage de programmation) · Architecture cloud-native · Linux · Apache Airflow · Apache Beam · BigQuery · DevOps · DBT · Looker
Cloud and AI Technology Consultant Mission 3: Data Platform for Yves Rocher Objective: Build a Data platform on Google Cloud Platform. Technologies: GCP, Apache Airflow, Apache Beam (Java/Python), BigQuery, Cloud Function, BigTable, Firestore, PubSub. Role: Active design and implementation of development best practices. Mission 2: Image Recognition Model for a Bank Objective: Develop an image recognition model to classify documents and detect fraudulent IDs. Technologies: Azure, Azure Function, Keras (prototype), TensorFlow (production model). Mission 1: ChatBot for Umanis (Event) Objective: Create a ChatBot for an event, showcasing real and GAN-generated cocktail images, with a quiz on their authenticity. Technologies: Azure, Azure Bot Framework (C#), TensorFlow (GAN), Azure SQL, PowerBI for live result visualization.Cloud and AI Technology Consultant Mission 3: Data Platform for Yves Rocher Objective: Build a Data platform on Google Cloud Platform. Technologies: GCP, Apache Airflow, Apache Beam (Java/Python), BigQuery, Cloud Function, BigTable, Firestore, PubSub. Role: Active design and implementation of development best practices. Mission 2: Image Recognition Model for a Bank Objective: Develop an image recognition model to classify documents and detect fraudulent IDs. Technologies: Azure, Azure Function, Keras (prototype), TensorFlow (production model). Mission 1: ChatBot for Umanis (Event) Objective: Create a ChatBot for an event, showcasing real and GAN-generated cocktail images, with a quiz on their authenticity. Technologies: Azure, Azure Bot Framework (C#), TensorFlow (GAN), Azure SQL, PowerBI for live result visualization. Compétences : Google BigQuery · Linux · Google Cloud Platform · Apache Airflow · Apache Beam · BigQuery · DevOps
