Aren Ramirez

April 2024 – Present

Developed and maintained CI/CD pipelines using Jenkins, Azure Pipelines, Terraform, and Ansible to automate monitoring for application deployments and infrastructure changes.
Designed and implemented AWS infrastructure monitoring solutions with Terraform to enable real-time observability and automated incident generation.
Created application discovery scripts in Python, Bash, PowerShell, Go, and Lua to support customer audits, decreasing manual database entries and accelerating customer onboarding.
Built real-time monitoring and alerting solutions for cloud and on-prem environments, leveraging Splunk to enhance application health visibility and incident response times.
Optimized SQL database performance by reducing daily database queries from 20 million to 50,000, significantly reducing database throttling and P1 incidents.
Performed application upgrades across a variety of customer environments, proactively monitoring system health and ensuring stability with minimal downtime.

June 2021 – August 2021

Analyzed various datasets using Pandas, SQL, Python, and Machine Learning techniques. Generated informative visualizations (bar charts, line graphs, scatter plots, pie charts) to uncover insights.
Developed visualizations and metrics for a Spotify popularity project, enhancing team understanding of data patterns and trends.
Worked in a cross-functional team of three interns to analyze a dataset. Developed charts and maps illustrating data trends like reviewer popularity, top countries, and highest scores. Employed agile methodologies, including Scrum meetings and consistent communication with team lead.
Led a project exploring Spotify popularity trends. Implemented diverse machine learning models to visualize artist characteristics like energy and acousticness, and conducted analysis on audio features, top genres, and explicit content trends.

June 2019 – August 2019

Provided technical support for 100+ employees involving hardware and software issues through an internal ticketing system. Sustained ideal ticketing call rates greater than 80% team-wide.
Collaborated with desktop services team of 12 employees plus 4 interns in setting up company events. Assisted in setting up a company live stream for public viewing of board meetings.
Cooperated with team to image laptop/desktop systems and scheduled meetings with employees to deploy imaged systems.

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