Sharif Doghmi
Sharif Doghmi has been working with big data technologies for more than a decade, and with Spark and Databricks for over 7 years. Throughout his career, he has designed, implemented, and optimized many large-scale streaming and batch data pipelines, as well as machine learning pipelines, in both the financial and advertising industries.

Over the years, he has led numerous projects building cost-effective, reliable, and performant data processing systems using best practices in data and software engineering. His approach emphasizes gaining a deep understanding of the pros and cons of different technologies and architectures, in order to select the most suitable tools and designs for the project at hand.

Sharif’s sessions

Sharif will be contributing to these sessions at Data + AI Summit 2024: