Cloud Financial Operations (FinOps) Engineer

Huntington National Bank | Remote

October 2023 - Present

• Certified FinOps Practitioner: Understand FinOps practices and how cloud operations enhance business value
• Collaborate with executive leadership and AWS, GCP, and Azure cloud teams to establish FinOps governance policies, improve resource utilization, and reduce operational inefficiencies through data-driven recommendations
• Developing real-time interactive cloud cost and utilization dashboards to visualize spend patterns and drive cost optimization across business units through analytics, forecasting, and reporting
• Designed and implemented automated ETL pipelines with Python and SQL to extract, transform, and report on multi-cloud resource consumption using a scalable relational database, reducing total reporting time by 90%
• Reduced anomalous cloud spend by $1M in 2024 through strategic cost analysis and process improvements

Cloud Data and Automation Engineer

Huntington National Bank | Remote

March 2022 - October 2023

• Designed, documented, and implemented a cloud-native database architecture, ETL, data processing tools, and visualizations
• Reduced a monthly 20+ hour process to an instantaneous process by automating Configuration Management metric reporting with a Python ETL and a relational MySQL relational database hosted on Amazon Web Services (AWS)
• Collaborated with data teams to develop automated data reporting APIs from data owning servers to recipient S3 buckets in the Configuration Management AWS instance, thereby automating their previously manual monthly reporting procedures
• Developed interactive Tableau dashboards to facilitate data exploration through publicly accessible team SharePoints

Data Engineer

L3Harris Technologies | Palm Bay, FL

May 2020 - March 2022

• Designed and implemented a scalable relational database architecture to securely store 20 years of legacy data, accommodate future data entries, and implement data governance strategies to retain data security and integrity
• Automated an ETL pipeline in Python to drastically reduce procedural timelines and program expenses
• Streamlined data processing algorithms to automate crucial data metric reports and visualizations, drastically reducing a historically 8-hour process per experiment to an instantaneous automated workflow
• Improved the data analysis user experience by creating a library of modular graphical user interface tools with TKinter that facilitate interactive data exploration, cleaning, and visualization for non-technical users
• Automated mechanical systems' data processing and optimization procedures to identify opportunities for improvement
• Implemented statistics and computer vision practices to develop robust data characterization algorithms

Controls Engineer

L3Harris Technologies | Palm Bay, FL

June 2018 - May 2020

• Designed an innovative DC motor control system with a robust data characterization algorithm to automate a historically manual procedure, reducing a tuning procedure from up to 8 hours of manual labor to an automated 30 seconds
• Overhauled existing technology, electronics, and relevant test fixtures to drastically improve system performance, yielding significant timeline savings and 80% cost savings in electrical hardware per fixture, per testbed
• Standardized testing fixtures and procedures for secure data acquisition protocol for analyses
• Led design reviews comprised of engineers with diverse technical backgrounds and varying proficiencies in mechanics, electronics, and software to assess design performance and utility
• Oversaw various teams' data acquisition efforts while adhering to firm program schedules and budgets