Batch Reliability Overhaul for General Motors
Eze Ahuna
The problem
Recurring failures in backend batch-processing jobs were creating rework for IT and business teams supporting GM's aftersales systems.
What I did
Automated manual steps in batch workflows
Introduced process improvements to catch failures earlier
Worked with QA and business partners to validate fixes across releases
The result
Annual backend batch-processing errors dropped by 10%, increasing overall system reliability.
Stack
Java, Spring Boot, SQL, Azure DevOps CI/CD
Details are generalized. No internal data or code is shown.
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Posted Nov 5, 2026
Cut annual backend batch-processing errors by 10% through workflow automation and process improvements across GM's aftersales systems.
