Peter Brunone
Data Engineering & Consulting Specialist @ Accenture Federal Services | Tableau, SQL, Salesforce, & AWS | Streamlining Data Integration & Driving Efficiency through Insightful Analytics
- Role
- Data Consultant at Accenture Federal Services
- Location
- Nashville, TN, US
- LinkedIn followers
- 500 followers
About Peter Brunone
I am a young professional living in Nashville, TN. While working as Data Engineering Specialist at Accenture Federal Services, I have gained extensive experience in implementing business solutions utilizing ETL development, data analytics, and cloud technologies. Currently, I serve as an SME for the data migration of FAFSA transactions, entailing the design, development, and maintenance of ETL solutions for the generation, transformation, and ingest of big data from AWS and Linux sources. In this effort my skills in SQL, Tableau, Python, Java, Amazon Web Services (AWS), Jira, Oracle SQL, and Agile Methodologies to drive improvements in data processing and visualization utilization for Federal Student Aid (FSA) and the Department of Education. I graduated from Virginia Tech with a Bachelor\'s degree in Industrial & Systems Engineering, where I honed my analytical, problem-solving, and communication skills. I was fortunate to gain much work experience before graduating from Virginia Tech as a Quality Engineer at Altra Industrial Motion during school breaks, a Senior Metals Analyst working for the Commodity Investing by Students, and a Commodity Associate Intern at S&P Global Platts.
Experience
Data Consultant
Mar 2025 — Present · Nashville, TN, US
Warehouse Utilization: Managed an analytics team of six using Agile frameworks to drive warehousing and supply chain insights across 1,300 sites, strengthening credibility for project initiatives and ensuring high-impact deliveryRevamped five Qlik warehousing dashboards and standardized the data architecture for 50+ enterprise metrics, improving reporting consistency and enabling scalable, automated business intelligence solutionsEnhanced data extraction and transformation processes within the Python-based master ETL pipeline, optimizing workflow efficiency by 30% for large-scale datasets containing over 30 million recordsConducted quantitative analysis to forecast transaction demand, assess labor allocation, and optimize space utilization in surge environments, saving $200K annually and improving storage capacity by 25%
Education
Virginia Tech
Bachelor's degree
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