Indy Berthomé Email & Phone Number

Montreal, QC, CA

Montreal, Quebec, Canada

Process and analyze high-volume blockchain data from Solana and EVM ecosystems, ensuring accuracy and reliability.Scaled and optimized ETL processes by implementing parallelized workflows, improving data throughput and processing efficiency.Architected and deployed AWS infrastructure (ECS, Lambda, Load Balancers, Registries) using Terraform to enhance.

Built and deployed a data infrastructure on Google Cloud Platform (GCP) from scratch, incorporating services like GKE, Cloud SQL, GCE, and Load Balancers, leveraging Terraform and Ansible for automation.Developed and deployed Python APIs using FastAPI on Cloud Run, enabling efficient data integration and scaling capabilities.Streamlined data ingestion.

Built and managed data pipelines to ingest data from internal databases and third-party tools into AWS Redshift, leveraging Stitch (managed EL), AWS Glue, and Python with Singer frameworks.Automated data workflows and job scheduling using Apache Airflow, ensuring timely and reliable data delivery.Designed and implemented data transformation workflows using.

Nantes, Pays De LA Loire, France

Lead for Business Intelligence and Data Engineering team to design, build, and optimize real-time data pipelines and analytics platforms.Implemented solutions using Apache Flink and PySpark to process high-volume data streams, ensuring streaming delivery for fraud detection and usage monitoring.Database modeling and query optimization across diverse.

Nantes Area, France

Industrialized machine learning use cases by deploying models and data workflows with Apache Spark and Flink.Developed robust data pipelines using Python and Java, integrating message brokers like Kafka and RabbitMQ for seamless data sharing.Utilized Hive and Impala for querying large datasets and optimizing distributed data storage systems.Deployed and.

Région De Nantes, France

Developed a framework to industrialize data science use cases, including preprocessing, modeling, and deploying ML workflows.Built machine learning models using Spark ML and Scikit-Learn, delivering actionable insights from large-scale data.Deployed Apache Spark applications on a Hadoop cluster to optimize big data workflows.

Belfast, Royaume-Uni

Research on the Similarity Flooding algorithm (Sergey Melnik), exploring its application in graph matching and similarity measures for fraud detection in the insurance industry.Developed and tested graph-based algorithms using Java, Scala, and the Apache Spark framework to process and analyze large-scale datasets.Collaborated with Allstate Northern Ireland.

Engineering Degree, Computer Science & Business Intelligence

NoSQL Databases, Big data, Multi-Criteria Decision Analysis, Spatiotemporal data, textual information research, Datamining, Data analysis.

Third Year Degree, Computer Science & Applied Mathematics

Algorithmic, Probability, Statistics, Operationnel research, Matrix computations, Mechanics, Numerical analysis

Second Year Degree, Applied & Fundamental Mathematics