Amir Halatzi
About Amir Halatzi
Amir Halatzi is a Senior Data Platform Engineer at Yotpo, where he has enhanced the company's data platform capabilities since 2021. He has a background in software engineering and has worked with various technologies to improve data management and processing.
Work at Yotpo
Amir Halatzi has been employed at Yotpo as a Senior Data Platform Engineer since 2021. In this role, he has enhanced the company's data platform capabilities by revamping the Change Data Capture (CDC) pipeline. He is currently involved in upgrading Apache Spark workloads to the latest version and converting them to use Kubernetes. Additionally, he has created real-time data pipelines using Upsolver to streamline data processing. Halatzi has also utilized Databricks for executing various one-off big data loads and assisted other teams in creating Apache Airflow-based pipelines to enhance workflow automation.
Previous Experience
Before joining Yotpo, Amir Halatzi held several positions in the technology sector. He worked at McKesson Health Solutions as a Software Engineer from 2008 to 2010. Following that, he served as a Software Engineer at ooVoo from 2012 to 2015. Halatzi then transitioned to WSC Sports Technologies, where he worked as a Back End Developer from 2015 to 2018. He continued his career at Applitools as a Software Developer from 2018 to 2021. His diverse experience spans various roles and responsibilities across different companies in Israel.
Education and Expertise
Amir Halatzi earned a Bachelor of Science degree in Information Systems Engineering from Universitat Ben Gurion Ba-Negev, completing his studies from 2004 to 2008. His educational background has equipped him with the skills necessary for his roles in data engineering and software development. Halatzi's expertise includes working with data management processes, Change Data Capture (CDC) pipelines, and big data technologies such as Apache Spark and Databricks.
Technical Skills
Amir Halatzi possesses a range of technical skills relevant to data engineering and software development. He has experience with Segment's Customer Data Platform (CDP) tooling, which he used to improve data management processes. His work includes creating real-time data pipelines and enhancing workflow automation through Apache Airflow. Halatzi is also skilled in utilizing Kubernetes for container orchestration and has a strong understanding of big data processing frameworks.