Nizar Kangat
About Nizar Kangat
Nizar Kangat is a Principal Solutions Engineer at Dremio, specializing in data lake solutions and cloud technologies. He has a background in database engineering, having worked at companies like LinkedIn and JDA Software, and holds a Master's degree in Computer Applications.
Current Role at Dremio
Nizar Kangat serves as a Principal Solutions Engineer at Dremio, a position he has held since 2022. In this role, he is responsible for conducting technical proof of concepts (POC) in pre-sales. His work involves demonstrating the capabilities of Dremio's data lake solutions to potential clients, showcasing how these solutions can enhance their data management and analytics processes.
Previous Experience at LinkedIn
Prior to joining Dremio, Nizar worked at LinkedIn as a Senior Database Engineer/Data SRE from 2019 to 2022. During his tenure in the Bengaluru Area, India, he contributed to the management and optimization of database systems, ensuring high availability and performance for LinkedIn's data infrastructure.
Background in Database Administration
Nizar has a solid background in database administration, having worked at MapView Geographical Solutions Pvt Ltd as an Oracle Database Administrator from 2014 to 2018. He also held the position of Senior Oracle Database Administrator at JDA Software for 11 months in 2018 to 2019. His experience spans various roles where he focused on database management and optimization.
Education and Expertise
Nizar holds a Master of Computer Applications (MCA) degree from Bangalore University, which he completed from 2006 to 2009. He also earned a Bachelor of Science (BS) degree in Mathematics from Calicut University between 2003 and 2006. His educational background supports his expertise in integrating data lake solutions with business intelligence tools such as Tableau and Power BI, as well as utilizing cloud technologies like AWS for data management.
Technical Skills and Tools
Nizar possesses a range of technical skills relevant to data management and analytics. He is experienced in managing data lakes on platforms such as S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), and Hadoop. Additionally, he utilizes DevOps tools like Ansible, Kafka, and Kubernetes to enhance database management processes.