Jerline George
About Jerline George
Jerline George is a Data Integration Developer with extensive experience in technologies such as Hive, Pig, and Spark. She has worked at Interac Corp. since 2019 and holds degrees in Electrical Engineering and Workplace Communication for IT Professionals.
Work at Interac
Jerline George has been employed at Interac Corp. as a Data Integration Developer since 2019. In this role, she focuses on integrating and processing data to ensure quality and accessibility within the organization. Her work involves utilizing various technologies and tools to enhance data workflows and support business objectives. Based in the Toronto, Canada Area, she has contributed to the company's data management strategies for over five years.
Education and Expertise
Jerline George studied at Ryerson University, where she completed a program in Workplace Communication for IT Professionals in 2018. This program lasted for 11 months and equipped her with essential communication skills tailored for the IT sector. Prior to that, she earned a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from Sathyabama University, completing her studies from 2011 to 2015.
Background in Big Data Development
Before joining Interac, Jerline George worked at Rogers Communications as a Big Data Developer for three months in 2018. She also has experience from her tenure at Wipro, where she served as a Project Engineer specializing in Big Data Development from 2015 to 2017. Her background includes extensive work with data processing, cleansing, and quality checks, which are crucial for maintaining data integrity in large systems.
Technical Skills and Technologies
Jerline George possesses strong hands-on experience with a variety of technologies, including Hive, Pig, Sqoop, HDFS, Scala, ETL, and Spark. She has excellent knowledge of AWS services such as S3, Redshift, EC2, IAM, EBS, Glue, and Spectrum. Her skill set includes creating optimization layers for data processing frameworks using Hadoop technologies and ETL tools like Talend, as well as building data marts and implementing data warehousing solutions.