$1M in Annual Development Costs Eliminated Through DevOps Pipeline Redesign

A data center company's development teams across the US and Europe were spending over $1M annually on full-relational sandbox environments for development, pre-sales, and training. Designed and implemented a DevOps data pipeline that migrated a 5M+ record relational subset to production-parity sandboxes, eliminating the need for full-cost environments without sacrificing fidelity.

ClientEnterprise Data Center Company
IndustryData Center / Real Estate

$1M/year eliminated

Annual development cost reduction

5M+ records

Migrated to production-parity sandboxes

2-year engagement

Retained through multiple contract extensions

The Challenge

What needed to change

Development, pre-sales, and training teams each required full production-parity environments to do their work effectively. Maintaining these environments for teams across multiple continents required significant compute and licensing spend that had never been scrutinized.

The company was also undergoing a corporate transition, adding pressure to demonstrate measurable operational improvements while maintaining development velocity across US and European teams.

The Approach

How it was solved

Architected a DevOps data pipeline to migrate a 5M+ record relational subset into production-parity sandboxes — eliminating the need for high-dollar full-environment builds while preserving the fidelity that development and pre-sales teams required.

Served as the multi-role technical lead across QA, Product, and DevOps, auditing the SDLC, building data pipelines for environment parity, and hardening the codebase across distributed teams. Maintained quality standards throughout a period of leadership transition.

SalesforceDevOpsData EngineeringQA AutomationSDLC
Andrew Johnson

Andrew Johnson

Cloud Architect & Automation Consultant

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