Maui Bar

Unity is a leading platform for creating and operating interactive, real-time 3D content.

As a member of Unity's Analytics team, I helped enable game studios to leverage their data using Unity Gaming Services solution.

Specifically, We were responsible for managing a petabyte-scale ingestion pipeline that processed 70k gaming events per second using GCP (Compute Engine, Pub/Sub, Dataflow) and fed the data into Snowflake.

During my time at Artefact, a data consulting company, I gained experience working with clients under tight deadlines, adapting to different tech stacks, and accommodating various project constraints.

As a tech lead, I successfully managed projects for clients such as Sanofi, Samsung, Europcar, and Micron.

At Europcar, I spearheaded the creation of a data warehouse for marketing data and industrialized propensity modeling and MROI using Airflow (Cloud Composer), Kubernetes, Docker, Big Query, and DBT.

At Samsung, I was responsible for ingesting marketing data for propensity modeling using Databricks, Big Query, Azure Container Task, and Docker.

At Sanofi, I industrialized an ML forecasting model and set up automated data ingestion using Databricks, AWS Lambda, and Deltalake. Additionally, I defined an ML framework to test various models using ML Flow.

At Micron, I built an ingestion pipeline and industrialized an MROI model using Vertex AI, Docker, and Kubeflow.

Data Engineer in the risk department of BNP Paribas.

Our team was in charge of the daily ingestion of every risk measures attached to each trades feeding our internal tool for risking analyst to monitor BNP positions