Excited to share a solution where I've designed and orchestrated end-to-end data pipelines using Azure Data Factory, integrating container-based workflows, dynamic routing, status monitoring (Until loops), and conditional execution handling. The architecture ensures reliable, automated data movement with clean orchestration logic and scalable execution across systems. I've also transformed manual SQL scripts into modular, production-ready dbt models, building structured Snowflake layers for analytics-ready datasets with incremental loading and optimized performance. To complete the loop, I've developed a real-time Streamlit dashboard for live monitoring and geo-visualization. From raw data to actionable insights, this project reflects the passion for creating scalable data intelligence systems .