Over Benoît
Engels
Tweetalig / moedertaal
Frans
Tweetalig / moedertaal
Werkervaring
- AmplitudeSupport Engineer and Technical Trainer – Product Analytics & Experimentation Enablementmei 2024 - Vandaag (2 jaren en 3 maanden)Amsterdam, Netherlands• ● Design and deliver technical training curriculum focused on product analytics and experimentation best practices.• ● Enable teams to translate data into strategic decisions, improving product outcomes.• ● Partner with cross-functional stakeholders (product, engineering, data) to scale analytics literacy.• ● Mentor and advise team members on advanced analytics tooling, experimentation frameworks, and metrics strategy.• ● Recognized with the EMEA Growth Mindset Award by peers and leadership for contribution to team success.• ● Investigated data discrepancies, tracking issues, and integration problems (SDKs, API, third‑party tools).• ● Explained query results, chart behavior, and metrics definitions in a clear, non‑technical way for mixed audiences.
- Forward FootballAnalytics Lead Full Stack Engineeroktober 2023 - april 2024 (6 maanden)Amsterdam, Netherlands• ● Recovered architectural ownership in a legacy system where documentation and domain knowledge had been lost due to repeated team turnover.• ● Conducted deep discovery workshops and reverse-engineered critical services.• ● Implemented code standards, versioning, and documentation to stabilize the platform.• ● Developed an ETL framework and infrastructure to monitor football player performance data:• ● Designed and built scalable data pipelines for ingesting raw performance data from multiple sources (e.g., tracking feeds, match logs).• ● Automated transformation and cleansing logic to generate structured performance metrics.• ● Built monitoring and alerting dashboards enabling real-time insights for coaches, scouts, and analysts.
- Synopsys IncSenior Analytics Web Engineeroktober 2020 - oktober 2023 (3 jaren)Hsinchu County, Taiwan• ● Designed and implemented an end-to-end ETL architecture to monitor park storage hard drive usage across the organization.• ● Built automated data collection pipelines to ingest storage metrics from distributed systems and hardware sources.• ● Transformed raw usage data into structured, query-ready datasets, enabling self-service analytics for engineering and operations teams.• ● Developed and maintained data models and schemas to support efficient querying and long-term scalability.• ● Enabled stakeholders to track storage consumption trends, identify bottlenecks, and plan capacity more effectively.• ● Improved system reliability through monitoring, alerting, and troubleshooting of data pipelines and web services.• ● Collaborated with cross-functional teams (IT, infrastructure, engineering) to align analytics outputs with operational needs.
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Opleidingen
- Master Computer ScienceUniversity of Lille2017