About Elliott
Associate Solution Architect at Clekt — an official Snowflake service delivery partner — working with organisations to design and deliver data and AI solutions that create genuine commercial value.
My work sits at the intersection of technical architecture and client outcomes. I lead engagements from discovery through to delivery, designing data pipelines, data models, and AI-enabled solutions using Snowflake, SQL, Python, and Microsoft Azure. Alongside delivery work, I mentor engineers within the Clekt team and contribute to growing our technical capability as an organisation.
I write regularly about Snowflake, AI, and data management and governance here on data-flakes.dev, and regular gust on the Clektive Thinking podcast, where we explore data, AI, and the real-world challenges of building modern data platforms.
My path into the data profession is unconventional. Over a decade in hospitality management, followed by roles in training and business intelligence, gave me something most architects don't have: the ability to listen carefully to what a business actually needs, translate that into technical solutions, and communicate clearly across every level of an organisation — from engineering teams to the boardroom.
Welcome to Data Flakes
Welcome to data-flakes.dev, your go-to blog for everything related to modern data platforms. Whether you are looking to explore the latest Snowflake features, learn best practices in Azure and AWS, or dive deep into technical aspects, this blog provides comprehensive coverage and insights.
At data-flakes.dev, we are passionate about the intersection of data engineering and cloud architecture. Our goal is to share valuable content that helps data professionals, developers, and enthusiasts stay informed and make the most out of the powerful technologies in the modern data stack.
What Data-flakes.dev Offers
- • Snowflake Technologies
In-depth articles covering a wide range of topics, from basic tutorials to advanced Snowflake use cases.
- • Multi-Cloud Insights (Azure & AWS)
Guidance on integrating Snowflake with Azure and AWS ecosystems for resilient cloud data architectures.
- • Tips & Tricks
Practical tips and best practices to help you optimize your data usage and solve common architectural challenges. Check out our README for more!
The Mission
The mission is to create a resourceful and engaging space for the modern data community. We believe in the power of knowledge sharing and strive to provide high-quality content that is both informative and accessible across Snowflake, Azure, and AWS platforms.
Disclaimer
The information provided on this website is for general informational purposes only. While we strive to keep the information up to date and correct, there may be instances where information is outdated or links are no longer valid. We make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability, or availability with respect to the website or the information, products, services, or related graphics contained on the website for any purpose. Any reliance you place on such information is therefore strictly at your own risk.