Saydul Bashar is an accomplished Data Architect and technology leader with over 15 years of experience in Software and Data engineering.

Adept at designing, developing, and implementing large-scale, high-impact data solutions that drive business growth across various industries. Saydul’s expertise encompasses Data Architecture, including the creation of scalable and secure Data Infrastructures on-premise or in the cloud, Data Engineering through robust pipelines using Apache Kafka, Spark, Druid and Flink, and solutions architecture in alignment with strategic business goals.

Proficient in Java and Python, Saydul excels in managing large datasets and leveraging cloud data platforms like AWS, Kubernetes among others. His career highlights include significant performance improvements and cost savings for clients, the design and implementation of real-time data platforms for machine learning and satellite monitoring, and leading globally distributed teams.

Saydul holds a First-class bachelor’s honours degree in Software Engineering from the University of Greenwich and a Master of Science in Software Engineering from the University of Oxford. He is committed to continuous learning, staying abreast of the latest advancements in scalable real-time data systems.