Mark Russell

Mark Russell is a skilled data and systems engineer with expertise in operations, data integrity, and data management within large-scale SQL Server environments.

Currently seeking a role to leverage existing data engineering skills while expanding knowledge in machine learning, statistics, and analytics.

Developing Forex automated trading systems using R, Python, and deep learning techniques to create unique and profitable trading strategies.

Extensive experience in data center management and operations, offering support, diagnostics, and IT services across various platforms including server software and hardware.

Over 25 years of experience working with SQL on multiple platforms, developing scripts for automated software deployment and system management.

Proficient in managing hardware and devices, from personal system builds to HP server systems, Cisco UCS hardware, NetApp NAS devices, and SpectraLogic tape systems.

Skilled in scripting languages like PowerShell, Perl, Python, REXX, for creating reports and management tools, with a focus on API access for live system data extraction.

Education includes a Certificate in Quantitative Analyst with R from Datacamp, B.Ph. in Interdisciplinary Studies with a Mathematics focus from Miami University, and a Nanodegree in Deep Learning from Udacity.

Professional experience spans from roles at Modernizing Medicine as a Data Engineer to technical trading at Quia Lucrum, and consulting with major companies like Hewlett Packard Enterprise, Autonomy, Iron Mountain, and others.

Previous positions include roles at IBM and Liberty Mutual, showcasing Mark's diverse expertise in IT, software, systems management, and analytics.

Mark's adaptability to diverse environments and his aptitude in data engineering, data management, and system operations make him a valuable asset to any organization.