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Data Center Operator

Brooklyn, NY
March 25, 2023

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Jason J. Giusti

Cell: 718-***-****


Insightful, results-driven Technology Specialist accustomed to working on multiple systems and accounts in a data center. A dedicated team player equipped with excellent communication skills and leadership qualities.


Software/Operating Systems:

Unix, Middleware, OS/MVS,TSO,ISPF,SDSF,CA1,JCL,operator commands (MVS and STK LSM Commands) VERITAS NETBACKUP 3.2,5.1 and 6.0, B&L Vertices, BRIGHTSTAR ARCSERVE for Windows NT, IBM Lotus SAMETIME, Remedy Action Request System, STORAGETEK EXPR 5.0, Streamline Library Console, Exceed Windows and Microsoft Office.


IBM 3420,3480 and 3490 drives, STK 9490,9840 and DLT drives, STK Timberline 9490 Silo, STK SL8500 Streamline Silo, IBM 3592 Total Storage Silo, Quantum Scalar i2000 Silo and FILETEK Optical Platter Jukeboxes.



Marketing Associate

As a marketing associate I have interpersonal skills, pay attention to detail, use my creativity and my analytical as well as teamwork skills.

RYDER LOGISTICS, New York, NY 2019 – 2020

Warehouse Associate

Control the movement and placement of all inbound/outbound shipments to warehouse.

Answer phones to address customer orders or technician requests for parts shipments.

Manage a weekly Inventory count to assure lack of shrinkage within the facility.

Train newer associates on various elements and workings of the distribution center.

Liaison between warehouse management and associates as well as other distribution centers in our network and outside distributors.

MANPOWER (FEDEX EXPRESS), Jamaica, NY 2018 – 2019


The packing, unpacking and delivering of mail and packages. This involves working every morning onsite in the warehouse handling packages as well as a runner delivering packages later in the day.

IBM CONTRACTOR, Brooklyn, NY 2012 – 2017

Lead Data Center Operator

The purpose of the project is to identify, collect and preserve Electronically Stored Evidence (ESI) subject to JPMC legal holds from JPMC backup tapes.


Processed the data from over 200,000 pieces of media. JPMorgan Chase is now able to consolidate their media and realize a big cost savings in their data center.

Maintained 30 Index Engines Server Appliances as well as their associated 30 L180 and L700 StorageTek tape libraries.

Managed the data center Inventory by using a combination of Index Engines software and IBM Maximo software to keep track of tapes progress during processing.

Created, managed and distributed a daily management operations spreadsheet for review of project status and deadlines in the data center.

Supervised and maintained all activities in the data center. This included leading an offshore team, performing admin duties such as bi-weekly virus scans, computer backups, windows updates and disk management.

MHM DIGITAL SOLUTIONS, Hackensack, NJ 2010 – 2012

Integration Specialist

Planning, coordinating and implementing of new software, hardware, networks or applications for the organization. This involves working with other information technology teams to plan strategies of execution without interfering with the organization's day-to-day activities.


Lead Data Center Operator

The management of the media production and maintenance process for the MAINFRAME, UNIX and NT environments in the data center.

Oversaw the daily data center activities which included documentation standards, procedures and the inventory process.

Recommended that all media operations areas be consolidated into a centralized system to reduce the number of technical problems and maintain overall control of the data center.

Scheduled work, trained employees, counseled staff regarding work performance and rated employees for annual performance reviews.

Maintained and controlled the Tape management system (CA-1), including: tape stacking, ejecting tapes, sending tapes to offsite storage. The Tape stacking process resulted in significant cost savings and freed up additional resources in the data center.

Followed problem escalation procedures when systems went down minimizing the chances of loss, reducing the amount of lost production time resulting from system failures.

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