Senior Data Engineer Manager
North Carolina Department of Revenue
مجموع سنوات الخبرة :13 years, 5 أشهر
• Led a team of data engineers to develop and optimize ETL processes using Azure Data Factory, Spark, and SQL, aligning with organizational goals.
• Enhanced business intelligence outputs through complex data mappings and profiles, resulting in a 25% increase in data processing efficiency.
• Developed automated reporting systems and predictive models using Tableau, Spark, and Python, driving a 20% reduction in operational costs.
• Directed data infrastructure projects, improving data quality and system efficiency through code reviews, API development, and data modeling.
• Assessed and defined IT project requirements, implementing enhanced data security measures.
• Established IT policies to guide system and network administration, reducing system downtime by 15% .
• Supervised IT staff, managing projects from planning through implementation, resulting in a 10% increase in productivity.
• Acted as a liaison between vendors and IT staff to facilitate technology solutions and provide expert IT planning assistance.
• Managed computer hardware, Cisco networking solutions, VPNs, and telecommunications systems.
• Reduced technical issues by 30% through effective troubleshooting of NAS/SAN systems.
• Improved system reliability by 15% through proficient management of SQL and diverse database systems.
• Enhanced student understanding and retention by reinforcing lessons and reviewing materials.
• Assisted in embedded system projects using OpenCV, C, C++, and Python on platforms like Arduino and Raspberry Pi.
• Improved project completion rates by 20% by diagnosing and resolving issues with sense HAT boards and other sensors.
• Developed, tested, installed, configured, and troubleshooted computer hardware and software.
• Increased user satisfaction rates by 25% through effective issue resolution and system functionality optimization.
• Managed Redhat/Unix/Linux environments, overseeing configuration, monitoring, upgrades, and maintenance.
• Reduced resolution times by 30% by collaborating with technicians across various engineering disciplines to troubleshoot and resolve complex system-level issues.