Dani Dubinsky
About Dani Dubinsky
Dani Dubinsky is a Data Engineer at OpenWeb, specializing in event-based data pipelines and real-time data access. He holds a Bachelor of Science in Computer Science from The Open University of Israel and has experience in various roles, including Big Data Engineer and Operational Specialist.
Work at OpenWeb
Dani Dubinsky has been employed at OpenWeb as a Data Engineer since 2022. In this role, Dani focuses on implementing event-based data pipelines to enhance data processing efficiency. The position involves utilizing technologies such as Apache Airflow, Spark, and Databricks on AWS. Dani's contributions are integral to the organization's data infrastructure and analytics capabilities.
Education and Expertise
Dani Dubinsky studied at The Open University of Israel, where they earned a Bachelor of Science in Computer Science from 2017 to 2021. This educational background provides a strong foundation in data engineering principles and practices, equipping Dani with the necessary skills to excel in the field of data management and analytics.
Previous Work Experience
Prior to joining OpenWeb, Dani Dubinsky worked as a Big Data Engineer at Placer.ai from 2019 to 2022. In this capacity, Dani contributed to the development and management of large-scale data systems. Before that, Dani served as an Operational Specialist at the Office of the Prime Minister of Israel from 2016 to 2019 and at the Israel Defence Forces from 2012 to 2015, gaining valuable experience in operational processes.
Technical Skills and Projects
Dani Dubinsky employs a variety of technical skills in their work. They have developed a management console for data assets using Django, which improved the organization and accessibility of data resources. Additionally, Dani designs and implements the infrastructure layer, including CI/CD, permissions, cluster definitions, warehouses, and databases. They also utilize Python FastAPI and Kubernetes to create online analytics data-serving platforms, facilitating real-time data access.