salma kellali

I’m a junior data engineer with hands-on experience building scalable ETL/ELT pipelines, orchestrating automated workflows, and deploying cloud-based data solutions. I focus on production-ready ingestion architectures, data quality monitoring, performance optimization, and reliable workflow execution.

In my ITSS GLOBAL internships, I designed scalable ELT pipelines for a Banking Documentation Intelligence Platform (RAG system), orchestrated DAG scheduling and monitoring with Apache Airflow, and built distributed document processing using Python, Apache Spark, MongoDB, and vector databases. I also developed production-ready REST APIs with FastAPI and contributed to deployment, containerization, and cloud integration on Microsoft Azure, alongside testing, CI/CD, and production release support.

I’ve continued to build end-to-end data engineering experiences through projects like a real-time e-commerce data pipeline using Kafka and Spark Structured Streaming, plus operational dashboards in Power BI. I’ve also implemented scalable Databricks ETL for transportation analytics, created a drone patent intelligence pipeline with Scrapy and MongoDB, and developed an academic management system using Spring Boot and MySQL—strengthening my ability to turn data needs into dependable systems.