Data Architect / Senior Data Engineer

Architected and managed the primary production audience
processing and distribution engine of RTB/DMP, activating 100s of
millions of daily users to DSP's such as Xandr, DV360, Facebook.
POC'd Kafka for navigation and CRM data consolidation project.
Use Kafka connectors in production to sink data from Datahub to
HDFS//Hive, write stream processors and various internal use cases.
Oversaw the implementation of client data pipelines, focusing on
data ingestion, ELT/ETL processes, warehousing, and analytics to
ensure data integrity, accessibility, and performance.
Led the construction of efficient datalakes for clients such as
Sofinco, LCL (Crédit Agricole brands), Allianz, Groupe Seb,
leveraging technologies like Airflow, Pyspark, and Hive.
Working with the Data Science team lead the industrialisation of
machine learning pipelines (Spark ML, Airflow, PySpark). Deployed a
cookie-email weighted scoring ML model 13 months of historical
conversion (order) data with over 500M records.
Performed code reviews of pythonic data pipelines to ensure code
standards are met

Research project on identification of international bypass fraud in
telecom networks by analyzing CDR data within a social network
fra mework.
Leveraged GraphX component of Spark to represent CDR data as a
graph data model
Deployed a Selective Naive Bayes learning model based on features
extracted from the graph, such as connected components,
neighbor depth frequency, to classify between classes of real
human usage and robot usage.