Ahmed Zarki

6-month internship within an international Big Data team, dedicated to the creation and stabilization of a large-scale financial data processing platform as part of the CESOP (Central Electronic System of Payments) project.

○ Backend Development: Implementation of Spark stages (batch and micro-batch), development of Kafka modules (Avro, partitions, throughput), code refactoring and optimization for reliability and performance.

○ Testing and Quality: JUnit/Mokito unit tests and end-to-end tests, synthetic data generation for load testing.

○ Bug Fixing: Incident reproduction via logs and configurations, Spark bug fixing (shuffle, memory, latency), Kafka stabilization (formats, offsets, CI/CD).

○ Application Support: Grafana / Kibana / Elasticsearch dashboards, distributed log analysis, and incident diagnostics.

2-year freelance mission within the ONCF IT department, dedicated to developing a SaaS feedback platform for operational teams, integrating a real-time analytics module and an internal decision engine.

○ Backend Development (Java / Spring Boot / C#): Design and implementation of Spring Boot microservices for managing feedback, workflows, and event ingestion. Development of Kafka modules (schema registry, Avro, partition and retention optimization). Implementation of C# services dedicated to interfacing with internal historical systems. Setup of secure REST APIs (OAuth2, Keycloak) and documentation via OpenAPI.

○ Frontend (React): Complete development of the SaaS interface: analytics dashboards, reporting, dynamic forms, notifications. Integration of modern UI libraries (Material UI, Recharts) and UX/UI optimization.

○ Data & Analytics: Construction of an event pipeline via Kafka Streams for aggregation and visualization. Creation of analytical jobs (Java / Python) and interactive dashboards.

○ Software Testing and Quality: Unit and integration tests (JUnit, Mockito, Playwright). Implementation of automated end-to-end tests covering the entire SaaS. Generation of massive test data for load scenarios.

○ Infrastructure & Cloud (Terraform / Kubernetes): Automated provisioning via Terraform (GCP / on-prem hybrid). Deployment of microservices on Kubernetes (Helm, Ingress, autoscaling). Observability optimization: Grafana, Prometheus, Loki, ELK.

○ CI/CD: GitLab CI pipelines: lint, build, tests, SAST analysis, automated deployment. Optimized Docker packaging and multi-environment promotion.

○ Collaboration & Methodology: Direct collaboration with ONCF teams and external partners. Participation in Scrum ceremonies and cross-team technical coordination.