Amir R.

Amir R.

Database Developer @ University of Toronto Press

About Amir R.

Amir R. is a Database Developer with a Bachelor of Science in Computer Science from Azad University. He has extensive experience in SQL Server management, application development, and reporting systems, currently working at University of Toronto Press since 2013.

Work at University of Toronto Press

Amir R. has been employed as a Database Developer at University of Toronto Press since 2013. In this role, he is responsible for scheduling and managing full, differential, and transactional backups for production databases. His work ensures the integrity and availability of critical data for the organization.

Education and Expertise

Amir R. studied at Azad University, where he earned a Bachelor of Science degree in Computer Science from 1995 to 2000. His educational background provides a strong foundation in database development and programming, contributing to his expertise in the field.

Background in Programming and Database Management

Before joining University of Toronto Press, Amir R. worked as a Programmer Analyst at Consolidated Fastfrate Inc from 2008 to 2013. During this time, he assisted project managers in defining detailed specifications for application functionalities and performed SQL Server audits to monitor database activity.

Technical Skills and Projects

Amir R. has implemented SQL Server jobs to monitor disk space, CPU activity, and index fragmentation. He has designed and developed CSS styles, themes, and JavaScripts for application validation and browser detection. Additionally, he developed the Publisher Intelligence System using a three-tier architecture with ASP.NET, IIS 10.0, C#, XML Web services, and ADO.NET.

Data Management and Reporting

In his previous role, Amir R. managed business-critical reporting systems using SQL Server Reporting Services (SSRS) subscriptions. He optimized and improved Data Transformation Services (DTS) and SQL Server Integration Services (SSIS) packages, and conducted complex queries for various departments to support data-driven decision-making.

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