CORE
Senior Software Engineer at Amazon
Company website: https://www.amazon.com/
Seattle, US
Joined Mar 2024
Seasoned engineering leader with over 8 years at Amazon, I specialise in developing large-scale data processing systems, AI infrastructure, data platforms and services. My expertise lies in designing and building scalable, secure, and highly available systems that underpin Amazon's diverse offerings. My work has not only earned me numerous awards and certifications in software engineering but has also allowed me to lead a dynamic team of engineers in crafting scalable, secure, and reliable cloud solutions. I am deeply committed to tackling complex challenges, driving value, and enhancing quality of life through innovative technology.
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Database Systems
In 2024, the focus around databases is on their ability to scale and perform in modern data architectures. It's not just centered on distributed, cloud-centric data environments anymore, but rather on databases built and managed in a way that allows them to be used optimally in advanced applications. This modernization of database architectures allows for developers and organizations to be more flexible with their data. With the advancements in automation and the proliferation of artificial intelligence, the way data capabilities and databases are built, managed, and scaled has evolved at an exponential rate.This Trend Report explores database adoption and advancements, including how to leverage time series databases for analytics, why developers should use PostgreSQL, modern, real-time streaming architectures, database automation techniques for DevOps, how to take an AI-focused pivot within database systems practices, and more. The goal of this Trend Report is to equip developers and IT professionals with tried-and-true practices alongside forward-looking industry insights to allow them to modernize and future-proof their database architectures.
Low-Code Development
Low code, no code, citizen development, AI automation, scalability — if you work in the tech world, it's likely that you have been encouraged to use tools in at least one of these spaces. And it's for a good reason as Gartner has projected that by 2025, 70% of applications developed within organizations will have been built using low- and/or no-code technologies. So does the practice live up to the hype? Year over year, the answer is a resounding "yes" as the industry continues to evolve. Organizations have an increased demand for more frequent application releases and updates, and with that comes the need for increased efficiencies. And this is where low-code and no-code development practices shine. Sprinkle AI automation into low- and no-code development, and the scalability opportunities are endless. This Trend Report covers the evolving landscape of low- and no-code development by providing a technical exploration of integration techniques into current development processes, the role AI plays in relation to low- and no-code development, governance, intelligent automated testing, and adoption challenges. In addition to findings from our original research, technical experts from the DZone Community contributed articles addressing important topics in the low code space, including scalability, citizen development, process automation, and much more. To ensure that you, the developer, can focus on higher priorities, this Trend Report aims to provide all the tools needed to successfully leverage low code in your tech stack.
