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Seun Balogun

@seunbalogun1

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I optimize Manhattan WMS implementations, integrations, and warehouse workflows for high-volume logistics operations.

United States

Message

What I'm looking for

I'm looking to lead and support Manhattan WMS implementation, optimization, integration, and production-stabilization work in high-volume warehouse environments.

At CVS Health, I configure and enhance Manhattan Active WM across inventory, replenishment, cycle counting, fulfillment, and shipping. I improved high-volume WMS transaction throughput by 35% and reduced recurring production incidents by 40% through SQL optimization, root-cause analysis, testing, and monitoring.

Previously, I supported warehouse implementations at GXO Logistics and built logistics integrations at FedEx using C#, .NET, Oracle SQL, SQL Server, REST APIs, and Linux services. I translate warehouse needs into practical WMS workflows, specifications, integrations, go-live support, and user training.

Experience

Work history, roles, and key accomplishments

Current

Senior WMS Consultant

Current

CVS Health

Oct 2022 - Present (3 years 11 months)

Partner with warehouse operations and business stakeholders to translate requirements into Manhattan Active WM configurations and implementation deliverables. Improved WMS transaction throughput by 35% and reduced production incidents by 40%.

Oracle SQL SQL Server Unix Linux REST APIs SIT UAT HyperCare Root Cause Analysis

WMS Implementation Consultant

GXO Logistics

May 2020 - Oct 2022 (2 years 5 months)

Supported warehouse-technology implementations for receiving, ASN processing, inventory, replenishment, fulfillment, and shipping. Improved application response time by 28% through query tuning and integration issue resolution.

Oracle SQL SQL Server Requirements Analysis UAT Defect Management User Training

Data Integration Developer

FedEx

Sep 2018 - Apr 2020 (1 year 7 months)

Developed logistics integrations using C#, .NET, Oracle SQL, and REST APIs. Improved database performance by 45% and reduced manual QA effort by 20%+.