Francisco Carneiro

– Owned the design and delivery of business-critical data systems end-to-end, from business scoping and architecture to implementation and production support across batch and near-real-time workflows. – Led platform initiatives across CDC, orchestration, data ingestion, CI/CD, and infrastructure security, improving the scalability, reliability, and maintainability of the data platform. – Drove FinOps and scalability improvements through data warehouse optimization, cleanup of unused assets, workload tuning, and cost observability, generating recurring savings (30%) and improving platform efficiency. – Partnered with analysts, product, and business stakeholders to build robust data products, marts, alerts, and integrations that support operational and decision-making use cases.

– Spearheaded a Data Platform-as-a-Service initiative, leading the deployment of 20+ cloud data platforms across Veolia's business units. – Owned the design and maintenance of platform infrastructure and CI/CD pipelines to enable scalable deployments. – Built transversal platform capabilities including alerting systems, data connectors, and usage dashboards to improve reliability and adoption. – Managed a team of 4 Data Engineers and advised internal stakeholders on data architecture, workflow design, and data modeling for analytics and operational use cases.

– Developed an Industry 4.0 big data platform for industrial IoT use cases. – Designed data pipelines supporting both batch and streaming processing in a lambda-style architecture. Tested platform load with about 1 MB/s of data being produced. – Implemented real-time anomaly detection using supervised and unsupervised machine learning methods. – Horizontally scalable solution responding to real business / operational use-cases (alerting, real-time and batch analytics).