As a Junior Network Engineer with a passion for designing and maintaining secure, reliable and scalable systems, I thrive at the intersection of networking and data-driven problem solving. My background in data science and machine learning gives me a unique perspective: I don’t just seek to manage the network, I want to understand the risks, liabilities, historical coverage and constantly refine processes that optimize overall performance and security measures to ensure its truly redundant.
I’ve worked with technologies including various Cisco, Palo Alto, and APC networking infrastructure/protocols/policies, while also applying tools like Python, PowerShell, SQL, and various related libraries utilized to automate tasks, detect anomalies, and transform raw data into data-driven actionable insights. Whether it’s troubleshooting connectivity issues, improving infrastructure efficiency, resolving issues with legacy documentation / determining the best approach for enhancing the viability of environmental constraints or exploring how machine learning can enhance network monitoring; the possibilities of service approaches are endless, but the mandate is always to provide a scalable solution best tailored to your expanding business needs.
Concurrently, I am working as a Jr Network Engineer within the field which has resulted in obtaining hands-on experience, working towards industry vendor certifications and developing personal projects to showcase applicable skillsets for the ever changing service requirements in this space.
Your life can either be a tragedy or a Hero's Journey of who you became along the way. That choice is always hanging in the balance, but it is one you must choose to make or its made for you.
- Proficient in:
- Python
- Ansible
- SQL
- AWS & GCP (Monitoring, Config, and Sys Management)
- Networking Fundamentals (ie, Subnetting, VLANS, Dynamic Routing Protocols, TCP/IP, etc)
- Cisco IOS, PAN OS, and Linux CLI
- Here is my Linkedin Profile https://www.linkedin.com/in/conner-gardiner/