At Avaxia, I build and optimize Snowflake ETL pipelines for energy platforms, including LIOS, DPP, and systems processing real-time power plant sensor data. I also delivered data solutions for a Japanese client, focusing on production performance and reliability.
I reduced Snowflake compute and storage costs by about 15–20% through query optimization, partitioning, and data modeling. I use Python to build ETL processes and have worked with Azure Blob Storage and Snowflake Pipes to automate ingestion.
Previously, I contributed to an AI-powered Master Data Management platform, working on event-driven workflows, Airflow-based integrations, and data-quality and anomaly-detection pipelines. As a Business Intelligence Intern at Bee Tunisia, I designed an end-to-end employee workload analysis solution and developed dashboards using Python and Power BI.
