Projects

Network Observability Tool Migration: Spearheaded the migration from SolarWinds to an in-house network observability solution, significantly improving network monitoring and reporting capabilities.
Automation of Infrastructure Tasks: Developed automation scripts using Python and Bash to streamline configuration management and infrastructure maintenance tasks, reducing manual intervention by 40%.
Performance Optimization Project: Led a project to analyze and optimize application performance, resulting in a 30% improvement in system efficiency and response time.
Disaster Recovery Plan Implementation: Designed and implemented a comprehensive disaster recovery strategy, enhancing data protection and recovery times during unexpected incidents.
Server & Storage Management: Managed and maintained server and storage systems, including regular updates, security patching, and hardware maintenance, ensuring 99.9% system uptime.

OpenStack Cloud Infrastructure: Architected and deployed a private OpenStack cloud infrastructure for a telecom data platform, optimizing network, routing, and security configurations.
MicroK8s Clusters Deployment: Implemented highly available MicroK8s clusters for development, testing, and production environments, improving application deployment and management.
Containerized Application Development: Developed and managed containerized applications including Docker private registry, ArgoCD, and various databases, enhancing application deployment and scaling.
ML Model Integration: Designed and developed containerized regression ML models in PyTorch for network device health monitoring, creating custom deployment and training pipelines.
ETL Data Pipelines: Created and maintained ETL data pipelines for aggregating data to train ML models, improving data processing efficiency.

Data Warehouse Development: Built and maintained a data warehouse for business intelligence and operations, integrating technologies like SQL/PLSQL, Python, and Snowflake.
Custom ETL Applications: Developed custom Python applications to support new ETL requirements, enhancing data processing capabilities and business operations support.
Job Scheduling & Automation: Implemented job scheduling and automation using SSMS and Python, optimizing data processing workflows.
Data Model Updates: Updated data models and transitioned legacy PLSQL stored procedures to Snowflake-compatible solutions, improving data accessibility and performance.

Loans & Sustainability Analysis: Contributed to a cohort project analyzing loans and sustainability using Python (Pandas) and SQL, providing insights for reporting purposes.
Data Automation: Automated data cleaning processes and developed daily progress reports, improving data analysis efficiency.
Collaboration with Sr VP: Worked directly with the Sr VP of Enterprise Data Architecture, gaining exposure to advanced data architecture and management practices.

Campus Occupancy Reports: Utilized databases and Tableau to create daily reports on campus occupancy and event logistics, aiding in better decision-making.
Data Cleaning & Visualization: Performed data cleaning and processing for visualizations, facilitating accurate and insightful reporting for university operations.

Flit-Path Scholarship: Finalist and recipient of the Flit-Path 4-year scholarship, awarded to academically talented students in financial need. More Info
5K/Family Event: Planned and managed a 5K/Family Event to raise awareness for diseases such as cancer and ALS, and funds for local families in Spring Hill. Event Details
ShellHacks 2019 Demo: Developed a demo web application with front-end infrastructure using Vue.js and back-end infrastructure with Node.js during ShellHacks 2019, integrating Google Maps API and Twilio API. GitHub Project
Bank of America Internship: Selected as an intern in the Global Technology & Operations program, working on cohort projects for loans and sustainability analysis reporting, and collaborating directly with the Sr VP of Enterprise Data Architecture.
Career Progression: Progressed from Data Engineer to Cloud/Platform Engineer, showcasing adaptability and a commitment to continuous learning. Successfully managed Kubernetes clusters, implemented CI/CD processes, and developed high-availability data platforms.

CI/CD Processes: Implemented effective CI/CD processes using ArgoCD and Airflow to ensure seamless delivery and integration across development, testing, and production environments.
Cloud Infrastructure: Architected and managed cloud infrastructure across multiple platforms including AWS, GCP, Azure, and OpenStack, focusing on high availability and minimal downtime.
Containerization and Orchestration: Spearheaded the creation and management of highly available Kubernetes clusters, developing custom solutions for operations orchestration and cluster administration.
Data Platform Design: Designed and built scalable data platforms incorporating PostgreSQL, MongoDB, ArgoCD, and Docker private registries, optimizing data management and application hosting.

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