Brian Jones is a Senior Software Engineer with nine years of experience building data-driven systems and production-grade APIs, currently enabling data science and BI through AWS-based pipelines and Airflow orchestration. He combines backend and DevOps expertise—shipping daily to production—with hands-on work integrating streaming data (DynamoDB) into search indexes (Elasticsearch) in a notable serverless examples repo. His background spans full-stack and data engineering roles at companies like Sonos and Built In, giving him a pragmatic blend of systems, API design, and workflow automation skills. Based in Apex, NC, he’s equally comfortable modifying Go streaming logic as he is crafting Python/Java solutions, and he brings an operational mindset to ensure recommendations and analytics reliably reach users.
9 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of North Carolina Wilmington
Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:15 commits, 1 PR, 6 comments in 2 months
Contributions summary:Brian primarily contributed to the integration of a DynamoDB stream with Elasticsearch, focusing on data indexing and transformation logic. This involved modifying Go code within the `aws-golang-dynamo-stream-to-es` project, specifically in the `dstream` package to handle data updates. The commits also show work on seeding the DynamoDB table with example data and setting up necessary configurations, demonstrating involvement in both back-end development and infrastructure setup.
Contributions:10 pushes, 2 branches, 1 comment in 5 years 7 months
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