SPEAKER
Sharif
Doghmi
Sharif Doghmi has been working with large-scale data systems since 2012, and with Spark and Databricks since 2016. Throughout his career, he has architected, developed, and optimized many large-scale streaming and batch data pipelines, as well as machine learning pipelines, in both the advertising and finance industries.
Over the years, he has led numerous projects building cost-effective, reliable, and performant data processing apps, ML apps, and data platforms using best practices in data, software, and ML 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 design strategies for the project at hand.
Over the years, he has led numerous projects building cost-effective, reliable, and performant data processing apps, ML apps, and data platforms using best practices in data, software, and ML 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 design strategies for the project at hand.
Sharif’s sessions
Sharif will be contributing to these sessions at Data + AI Summit 2024: