Ammar Nizami

Ammar is a Sr. FDE in Data Engineering at Mactores. He works with customer teams to build and run the data pipelines their AI models and agents depend on. Day to day he works in Apache Airflow, PySpark, Amazon EMR and Amazon SageMaker. On each engagement, Ammar gets customer data ready for AI in production. He designs the Airflow orchestration, tunes Spark jobs on EMR until they hold at volume, and keeps SageMaker model pipelines stable once real data runs through them. He writes about how each problem was solved and what it cost to get there, so readers can do the same.