Arthur P.
Senior Data Engineer @Vibe.co
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WORK HISTORY
Senior Data Engineer @Vibe.co
Senior Data Platform Engineer at Vibe, a programmatic advertising DSP, where I architect and operate the company\'s batch data infrastructure processing billions of ad events daily- Modernized the analytics data platform from zero — replication pipelines to BigQuery, dbt integration, and third-party SaaS data source ingestions — enabling the entire business intelligence function- Led the migration of the data lakehouse to a modern Apache Iceberg-based across 15+ high-volume datasets, reducing pipeline complexity and improving data freshness- Integrated UID2 (Unified ID 2.0) end-to-end for privacy-compliant identity resolution, including PII normalization, encryption, and opt-out handling- Designed and shipped a data quality and health alerting framework with automated schema-driven tests, Prometheus metrics, and real-time Slack notifications- Rebuilt core bidding data pipelines with DuckDB and Spark EMR, achieving significant throughput improvements through partitioned sharding and multiprocessing- Modernized infrastructure by migrating 100+ Kubernetes jobs to Karpenter autoscaling and building a Spark EMR execution provider from scratch. Own and operate 100+ production data pipelines (bid/win/auction logs, impressions, attributions, segments, identity) with end-to-end responsibility from ingestion to consumption.Stack: Python, Dagster, Spark, Apache Iceberg, DuckDB, dbt, BigQuery, Kubernetes, AWS, GCP, Prometheus
EDUCATION
EPITECH - European Institute of Technology
Certification in Data Science for Business
Notre-Dame du Grandchamp
Intensive preparation for admission in French management schools, Economics
Emlyon Business School
Master of Science in Management, Data Science & Digital marketing
Lycée Hoche
Economic Baccalaureate, Maths option
SKILLS
ABOUT ARTHUR P.
Data platform engineer with a decade of experience across analytics engineering, infrastructure and product management. I build and operate large-scale data systems — currently processing billions of ad events daily — with a focus on reliability, data quality, and distributed processing. My path from product manager to analytics engineer to platform engineer gives me an unusually broad perspective: I think in systems, but I understand the business problems behind.
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