Chahine Haji

- Developed and maintained scalable APIs using Python and FastAPI to deliver data services to internal teams across the organization. - Built and deployed microservices on Kubernetes within the IBM Cloud environment, enabling reliable and performant data access. - Designed and implemented near real-time streaming solutions, reducing latency and improving the responsiveness of business-critical applications. - Collaborated cross-functionally with product owners, developers, and multiple stakeholder teams, serving as a go-to expert for data delivery and integration challenges.

- Developed and optimized data models and ETL pipelines in Python to detect fraudulent activity in financial markets. - Improved model performance, enabling faster execution and the ability to process significantly larger data volumes—leading to more scalable and responsive fraud detection systems. - Conducted comprehensive testing across all environments to ensure stability and reliability of deployed applications. - Collaborated with product owners, business analysts, and infrastructure teams to align technical solutions with business requirements.

Skills: Python (Programming Language)

Skills: Finance