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Scaled AMD’s TADA engineering capacity with nearshore senior talent to accelerate high-performance development.
Summary
SchoolDay provides a comprehensive student information system (SIS) used by K-12 school districts to manage administrative, instructional, and classroom workflows. Their platform supports core school operations, including attendance tracking, scheduling, grading, reporting, and parent engagement.
Accelerated development throughput by
50%
Cut average deployment cycle time by
40%
The Challenge
The work included developing new modules, improving functionality, automating manual processes, and delivering reliable releases. The challenge was delivering high-quality .NET applications that met requirements, supported security and performance standards, and integrated seamlessly with SchoolDay’s ecosystem. Tight timelines and evolving needs required added capacity without compromising quality or stability.
“SchoolDay required engineering support to build and deploy internal applications that power key operational systems within its SIS platform.”
Our Solution
ParallelStaff partnered with SchoolDay to provide dedicated engineering support for .NET application development and deployment. Our team worked closely with SchoolDay’s product and engineering teams to deliver backend services, modules, and enhancements using .NET (C#) and Microsoft technologies. We contributed to design discussions, implemented core business logic, integrated with SQL Server, and supported automated deployments through DevOps pipelines. Our approach emphasized clean architecture, testing, and deployment best practices to improve scalability and reliability, acting as an integrated extension of the internal team for feature delivery and production readiness.
Delivery Model
All Technologies we used
The Results
- Accelerated development throughput by 50%, enabling faster delivery without increasing headcount.
- Reduced defect rates in production by 35% through enhanced testing, code reviews, and repeatable deployment processes.
- Cut average deployment cycle time by 40%, enabling more frequent releases with predictable quality and less manual intervention.
- Decreased production incidents tied to internal application changes by 30% by strengthening deployment automation and validation.


