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Skills

  • Python
  • Computer Technician
  • Desktop Support
  • Email Support
  • Microsoft Office
  • Office Assistant
  • Operations Management
  • Python Application Development
  • Python Development
  • Python Scripting
  • Script and Screenplay Editing
  • Storage Engineering
  • Technical Support
  • Unix Shell Scripting

Services

  • Python automation for operations support

    $5/hr Starting at $25 Ongoing

    Dedicated Resource

    Results-driven Automation and Systems Engineer with 15+ years of experience specializing in Python automation, Linux administration, enterprise storage, and Microsoft Office 365 environments. Proven track...

    Computer TechnicianDesktop SupportEmail SupportMicrosoft OfficeOffice Assistant

About

PROFILE SUMMARY
Results-driven Automation and Systems Engineer with 15+ years of experience specializing in Python automation, Linux administration, enterprise storage, and Microsoft Office 365 environments. Proven track record of designing efficient automation solutions, optimizing system performance, and supporting business-critical infrastructure. Adept at troubleshooting complex issues and streamlining operations through scripting, monitoring, and integration.

Work Terms

 Applied data science techniques to improve IT operations, including storage performance analysis, capacity forecasting, and network anomaly detection.
 Developed automation scripts using Python and Bash for Linux, storage, network, and voice systems, reducing manual work.
 Built predictive models to forecast system failures, optimize resource utilization, and support incident reduction.
 Integrated infrastructure logs (storage, network, voice) into data pipelines for real-time analytics and health monitoring.
 Created dashboards (Power BI/Tableau) to visualize system performance, backup success trends, and operational KPIs.
 Collaborated with IT Ops teams to automate routine tasks, streamline troubleshooting, and enhance system reliability.
 Developed ETL workflows to collect, normalize, and analyze large volumes of operational data.
 Supported DevOps and cloud teams by deploying monitoring models on Linux-based environments using Docker and APIs.
 Used machine learning and analytics to enhance IT operations and infrastructure performance.
 Automated storage, network, Linux, and voice system workflows using Python and Bash.
 Built dashboards and predictive models to reduce incidents and improve operational efficiency.
 Developed data pipelines for processing infrastructure logs and system health metrics.