Arik Frenkental

Data Engineer @ Flare

About Arik Frenkental

Arik Frenkental is a Data Engineer with extensive experience in database management and data engineering roles across various companies. He has worked at notable organizations such as 888holdings, Agoda, and Taboola, and currently manages a Data Warehouse on Snowflake hosted on AWS.

Current Role at Flare

Arik Frenkental has been employed at Flare as a Data Engineer since 2022. In this role, he focuses on data engineering tasks, including the management and optimization of data pipelines. His expertise in building data pipelines using Python is integral to his responsibilities. Additionally, he manages a Data Warehouse on Snowflake hosted on AWS, utilizing DBT for modeling and populating the Data Warehouse.

Previous Experience at 888holdings

Before joining Flare, Arik Frenkental worked at 888holdings as a DBA Team Lead from 2011 to 2016. During his five years in this position, he was responsible for overseeing database administration tasks and leading a team of database administrators. His role involved ensuring database performance and reliability within the organization.

Career Background in Database Management

Arik Frenkental has extensive experience in database management and engineering. He has held various roles, including Database Specialist at Websense, Development DBA at Reed Elsevier, and Database BI Developer at EMAP. His career began as a SQL Server DBA at Commtouch and continued with positions at companies such as Agoda and Taboola, where he further developed his skills in SQL and database technologies.

Educational Background

Arik Frenkental studied at The Open University of Israel, where he majored in computer sciences and earned a Bachelor of Arts degree from 1999 to 2002. This academic foundation has supported his career in data engineering and database management, equipping him with essential knowledge and skills in the field.

Technical Skills and Expertise

Arik Frenkental possesses strong technical skills in data engineering, particularly in building data pipelines using Python. He is experienced in managing Data Warehouses, specifically on Snowflake, and utilizes DBT for data modeling and transformation. His background includes working with SQL Server and various database technologies, contributing to his expertise in the field.

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