I am a Data Science graduate and current Data Engineer who enjoys building solutions and solving problems. I have worked on AWS data platforms including using Databricks, Snowflake, and AWS native services to ingest, transform, and extract insights from data. I enjoy working on all aspects of Data Engineering, especially building out the platform and implementing new features.Some of my favourite work has been to get in and solve complex problems when the solution may not be clear at the beginning. I have been involved in refactoring and redeploying a ML model to ensure that it continues to add value to the client, to uplifting all of the Python Lambda functions across an entire environment.I spend most of my time using Infrastructure as Code to ensure repeatability and scalability, having worked with both Terraform and AWS CDK in Python. My go to skills are again Python and SQL, the toolbox of data engineering, as well as the usual git for version control.I am passionate about technology education and started Data Science with Daniel to build a community of like-minded people, share knowledge and experiences, and learn from each other. I have created YouTube and TikTok videos on some of these technologies, as well as interviews with other technology professionals. Check them out under datasciencewithdaniel.Currently I am working on Chop, a mobile app that does kitchen inventory management. It is built in Swift for the frontend, and uses AWS services deployed with CDK for all the other functionality. Find it on the Apple App Store under 'Chop Kitchen Assistant' to see some of what I have built.