Staff Software Engineer | Ruby on Rails | Fast API | React | Analytics | AI
Diligent Staff Software Engineer with 10+ years of professional experience, specializing in full-stack scalable cloud based Web Application, Analytics and Microservice development in Ruby on Rails, React and AWS.
Tech: Ruby on Rails, React, AWS SQS, Kubernetes, Terraform
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Designed and implemented new scalable SQS approach to handling asynchronous workloads, reducing job starvation by 90%
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Managed deployments to multiple client environments using Kubernetes and Terraform, making features and fixes available to thousands of users
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Led the initiative to identify and solve several vulnerabilities in the deployment process and documented the process succinctly in confluence, reducing outages and deployment failures by 30%
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Identified and diagnosed several high priority production issues for the FLMTG legacy application, ensuring stability in the application for thousands of users
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Performed code reviews and mentored other engineers, leading to more stable and readable code
Researched OpenTelemetry and built a POC to add it to the .NET Monolith, allowing developers to trace activity between the legacy and greenfield applications
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Proposed clearer CI/CD process for multi-team environment and repository management, preventing environment specific issues and improving the fluidity of production deployments
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Integrated Schema Registry into micro-service architecture, standardizing Kafka message data
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Identified and quickly resolved critical issues with the .NET VC legacy monolith in On-Call rotation, ensuring reliability for thousands of users
Tech: Ruby on Rails, AWS Airflow, React, Looker, Snowflake, PostgreSQL
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Containerized the Analytics repository and created AWS cloud architecture for CI deployment, greatly simplifying deployments
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Led the redesign of the Analytics project into a mature cloud-based architecture, improving scalability by 1000% and reducing time to implement new Analytics insights by 90%
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Investigated and integrated Looker as a replacement to in-house Analytics views, empowering users and developers to generate their own BI insights from company data in 1/10th the time
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Built Demo AI integration with Alexa for Eclipse conference, increasing product visibility and attracting hundreds of new customers