Dan Easterbrook

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IT Leader with Expertise in QA, Performance Engineering, and Large-Scale IT Transformations

Status: Immediately Available
Location: United Kingdom, Remote
Overview:

This candidate is a highly accomplished IT leader with extensive experience across Quality Assurance, Performance Engineering, and Release Management. Their career spans over several decades, where they have held key roles in major IT projects and transformations across banking, financial services, retail, and patents sectors.

The candidate’s expertise includes managing large-scale migrations, leading cross-functional teams in both onshore and offshore settings, and delivering complex projects involving budgets of up to £2.1 million and change portfolios reaching £250 million. Their skill set is deeply rooted in modern methodologies, such as Agile, DevOps, Lean, and CI/CD pipelines, with hands-on experience in cloud platforms like MS Azure and AWS.

One of the candidate's standout achievements is successfully leading the performance engineering activities during a major data center migration that involved 310 applications and impacted over 600 developers. Additionally, they managed the migration of an IBM Z mainframe to a Linux platform, showcasing their ability to handle technically complex projects efficiently.

Their leadership style is marked by a strong commitment to motivating teams and ensuring high-quality delivery at pace. This is complemented by their proficiency in stakeholder management, strategic planning, and risk management (RAID). They have demonstrated success in both technical and leadership roles across various international locations, including the UK, Netherlands, Switzerland, and the US.

Given their extensive experience, technical expertise, and proven leadership abilities, this candidate would be a significant asset to any organization looking to execute complex IT transformations or performance engineering initiatives. They bring not only a wealth of knowledge and skills but also a track record of delivering business outcomes effectively and efficiently.

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