Dallas-Fort Worth Metroplex
Software Engineer with a hunger for knowledge and a passion for technology. I thrive on challenging problems and excel in dynamic environments where I can grow and collaborate with others. My curiosity keeps me at the forefront of tech trends, always eager to apply innovative solutions to complex issues.
• Developed an organization-wide monitoring platform using the LGTM stack and OpenTelemetry, providing visibility into infrastructure and applications with logs, metrics, and traces. • Defined and led the implementation of an organization-wide Incident Management and Postmortem Process, improving incident identification, resolution, and continuous improvement. • Served as the sole maintainer of the in-house built Omni TMS application and infrastructure, implementing new features and maintaining service performance. • Enhanced the OpenTelemetry collector to streamline log collection from over 50 AWS accounts, significantly reducing monthly cloud bills. • Authored custom Prometheus Exporters in Go, enabling data collection from new sources and consolidating application telemetry into a single pane of glass. • Championed infrastructure automation and provisioning with Terraform, enabling scalable, repeatable, and version-controlled infrastructure definitions, which improved deployment speed and consistency. • Built and maintained CI/CD pipelines for application teams using GitHub Actions, boosting developer efficiency by automating application provisioning and deployment. • Rearchitected the company’s DNS topology to enable seamless public and private DNS resolution across on-premises and multi-cloud environments, enhancing network security and efficiency.
• Developed and maintained a custom-built monitoring platform with Grafana, TimescaleDB, Kafka, and OpenTelemetry, providing the Trading organization with real-time visibility and alerting over hundreds of application servers. • Served as Database Administrator and Support for the company’s mission critical NoSQL Trading database clusters. This included typical DBA work, management of low-latency bare-metal servers, monitoring, alerting, and incident response. • Led the development of an automation framework in Python, which was importable as a library and had a custom command line interface, enabling teams to quickly perform critical tasks across multiple servers. • Developed custom Ansible modules in Python, roles and playbooks for automating application deployments and server provisioning. This reduced the time to perform maintenance from hours to minutes. • Developed CI/CD pipelines in Bamboo, and Harness for application teams. This included automated testing, deployment, and rollback strategies.
• Served as Database Administrator and Support for the company's mission critical NoSQL Trading database clusters. This included typical DBA work, management of low-latency bare-metal servers, monitoring, alerting, and incident response. • Served as the teams Observability SME, developing custom Grafana dashboards, Prometheus exporters, and alerting rules for monitoring our NoSQL Trading database. • Developed an internal full stack web application in Pythons Django framework for managing database clusters, users, and permissions. This application was used by multiple teams and increased efficiency and consistency in database management. • Developed several Ansible roles and playbooks which automated software deployments across our fleet of servers. This included deploying and configuring monitoring agents, databases, and custom applications. • Served as the go-to automation expert for the team, developing custom tooling and scripts in Python for automating common tasks and reducing manual work.
• Developed automated trading systems for clients on platforms like ThinkorSwim, TradeStation, and Tradingview, turning client ideas into effective trading strategies. • Maintained a 100% job success rate with an average rating of 5 stars
• Authored additions to the company’s internal monitoring platform, including custom Grafana dashboards and alerts, improving system visibility and performance monitoring. • Contributed to a Java application by implementing new features and fixing bugs using JUnit, Maven, Kafka, and InfluxDB, enhancing application stability and performance. • Developed tools for automating database deployments in Python, reducing time to deploy new instances.