Saeed Zareian is a seasoned Staff Software Engineer at Twitter, where he leverages his extensive expertise in the data domain to drive innovative solutions and enhance operational efficiency. With a career spanning notable tech giants like Amazon and eBay, as well as successful startups, Saeed...
Saeed Zareian is a seasoned Staff Software Engineer at Twitter, where he leverages his extensive expertise in the data domain to drive innovative solutions and enhance operational efficiency. With a career spanning notable tech giants like Amazon and eBay, as well as successful startups, Saeed has cultivated a robust skill set that encompasses a wide range of technologies and methodologies. His current role at Twitter involves spearheading key projects that focus on data pipeline optimization and automation, ensuring the seamless flow of information across various platforms.
One of Saeed's significant contributions includes the implementation of a graph-theory algorithm designed to generate Airflow Directed Acyclic Graphs (DAGs) and SQL through self-serve APIs. This initiative not only streamlined workflows but also empowered teams to define and manage experiment metrics independently, fostering a culture of data-driven decision-making. Additionally, he has enhanced system resilience by developing automated integration tests and canary data pipelines, alongside comprehensive unit tests for Airflow using mocking techniques. His proficiency in Scala and Scalding has been instrumental in maintaining robust data pipelines, ensuring high availability and performance.
Saeed's technical acumen is complemented by his experience with modern cloud technologies, including Kubernetes, AWS, and Amazon S3, as well as data processing frameworks like Apache Kafka and ElasticSearch. As a tech lead and subject matter expert, he is committed to mentoring emerging talent and promoting best practices within the engineering community. His passion for adaptive systems and scalable web services positions him as a pivotal player in shaping Twitter's data strategy and infrastructure.
