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Thank you for the question. I have been working as a data engineer for a combined total of three years, working closely with business leaders and engineers at different enterprises. where my main focus and speciality was in building reliable data pipelines that supports business decision making. I also have experience running a solo consultancy firm, where I have had the opportunity to consult and build end to end data products for businesses, which has allowed to be explore and hone my leadership, and communication skills on top of my technical expertise. Above all. in addition to the skills  I have learnt over the last three years, my experience in academia, especially as a consequence of my PhD research, I have a strong preference and a proven track record  in delivering complex analytical tasks.  All of the above essentially package me up as  an ideal candidate for this role.

Pushed for single tenancy of application because of monolith and legacy architecture but had to move to multi tenancy later on because of scalability issues.

I look after our email platform and our existing solution wasn't flexible enough to handle targeted messages at scale. We were missing an opportunity with users to send personalised messages at the right time to help increase engagement. I embarked on a project to implement a new marketing automation software. This project required alignment across our product, data, retail, security and legal teams. I spent time researching the availble tools in the marketing and workshopping requirements with relevant stakeholders, we created an RFP and sent to a number of suppliers. Each round of the RFP I assigned a score to the company and gathered feedback from stakeholders. This ensured the decision making process was fair and we had strong evidence when sharing the business case to senior leadership.

Once we decided on the supplier, I was responsible for implementing the tool which required support across various teams within the business. Implementing something cross-functionally