Bio
As an experienced Solutions Engineer/Architect with expertise in AWS, Azure, and Google Cloud solutions architecting , I specialise in building and scaling cutting-edge Data and AI platforms. I am passionate about driving business value by leveraging data-in-motion strategies (Kafka, Flink) and certified technical skills. In my current role at Confluent , I manage the full technical lifecycle, designing compelling Cloud Data and AI solutions utilising technologies like Kafka, Flink, Spark, and Databricks. I have a proven track record of architecting and delivering high-value Proof of Concept (PoC) solutions for enterprise customers, successfully converting opportunities with an ARR of $500K+. I regularly articulate technical and product positioning to diverse stakeholders, including the C-suite, to support sales closure and drive customer consumption.
My background also includes extensive experience as a Technical Solutions Engineer at Databricks and an Associate Professional Software Engineer at DXC Technology. I provide technical guidance and develop solutions across all major cloud providers , specialising in distributed systems, microservices, and containers. A key strength is DevOps/Automation , where I’ve automated infrastructure deployment using Terraform and CloudFormation/Boto3 , reducing deployment time by 40% and manual errors by 25%. I hold multiple key certifications, including AWS Certified Solutions Architect Professional and am recognized as a Microsoft Certified Trainer (MCT) and an AWS Community Builder. I’m also an active community contributor, having been named a Star Performer and receiving multiple IEEE Volunteer Awards.
Let’s connect if you’re exploring the future of real-time data streaming, cloud architecture, or leveraging AI/ML platforms for business transformation.