Nour-eddine AIT ELHADJ

Contributor to the Metrics Platform, a distributed processing engine that ingests hundreds of millions of market-risk sensitivities intraday from upstream sources, transforms and enriches them across rates, FX, credit, inflation…, and serves the results through a distributed ActivePivot cube cluster for real-time aggregation and trading-limit monitoring. - Build and operate event-driven Spark pipelines on Azure Kubernetes that ingest, transform, and enrich risk sensitivities across multiple metric workflows, feeding the ActivePivot cube cluster used by risk teams - Contribute to retiring a legacy monolithic Java aggregator metric-by-metric onto the platform's cloud-native Spark + ADLS + ActivePivot architecture - Develop the shared Spring and Spark Java libraries powering all migrated metrics: modular, plug-and-play components encapsulating common transformation logic - Deliver targeted performance and reliability work: Spark configuration tuning, and reconciliation checks, Data Quality analysis, to guarantee regulatory-grade accuracy before results reach risk teams - Manage Kubernetes/Helm deployments (AKS and on-prem) and CI/CD releases across UAT, NextProd, and Production Stack: Apache Spark (Scala/Java), Spring Boot, Azure (Event Hubs, ADLS Gen2, AKS, Synapse), Kafka, ActivePivot, Kubernetes, Helm, Jenkins, PostgreSQL

Worked on data processing, automation, and internal analytics tooling supporting operational teams. • Built data pipelines for extracting, cleaning, and preparing email and operational data • Implemented automated classification workflows using NLP models • Developed batch jobs to compute KPIs and operational metrics • Designed ETL transformations and metrics generation pipelines • Exposed computed metrics through APIs for monitoring and reporting • Reduced manual processing workload by approximately 75% Tech stack: Python, Pandas, PyTorch, Hugging Face Transformers, FastAPI, Schedule, Vue.js, Chart.js

Co-built a SaaS affiliate marketplace enabling suppliers, affiliates, and managers to run commission-based product promotions with end-to-end tracking. • Co-designed and developed backend APIs for affiliate onboarding, product listings, promotion approvals, and order lifecycle management • Implemented event tracking and attribution logic linking visits, leads, and orders to affiliates and suppliers • Designed data models and aggregation logic for commission calculation, performance metrics, and operational dashboards • Contributed to system architecture decisions around role-based access control, multi-role workflows, and analytics consumption • Supported automated metrics generation used for ecosystem monitoring and reporting Tech stack: Node.js (Express), MongoDB, Vue 3, JWT, cron-based jobs, role-based authorization