I've built cloud data platforms and automation systems for Niagara Bottling, JazzCash, S&P Global, and JAZZ. My work spans Snowflake modernization, real-time fraud detection, enterprise data warehousing, and analytics delivery.
At Niagara Bottling, I migrated legacy SQL and monolithic ETL into modular dbt models, shortening deployment cycles by 60%, and built Azure Function-based IIoT ingestion and device-health reporting across 50+ manufacturing plants. For JazzCash, I designed a Kafka streaming pipeline handling millions of financial transactions per hour to support real-time fraud detection.
I've also led a 1.5 TB SQL Server-to-PostgreSQL migration on AWS RDS, improving performance and scalability by over 40%. I use Python, SQL, Snowflake, Azure, AWS, Kafka, dbt, Airflow, and data modeling to deliver reliable, governed data for BI, analytics, and AI/ML workflows.
