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Yyyyyy x. yyyyyy
0000 xxxxxx xxxx , xxxx , xxxxx 00000 (xxx-xxx-xxxx abc@xyz.com
Cutting-Edge Technical Analysis & Support Professional
Query Optimization SQL Internal Customers Bash Scripting Linux Command Cloud Environments
Profile
Accomplished professional with passion for data science and engineering; master thesis related to machine learning data analysis has been cited over 130 times.
Continuously support active learning and practices of big data technologies.
Proven ability to simultaneously manage multiple levels of responsibilities and duties in a fast-paced environment.
Excellent communicator with demonstrated ability to collaborate with staff, management, business partners, and others at all organizational levels.
Outstanding blend of organization, prioritization, leadership, and interpersonal skills.
Mentor and lead teams by example and with integrity to deliver service excellence.
Education
MA in Management Information Systems, University of Nebraska-Lincoln, Lincoln, NE (2012) GPA: 3.88/4
Professional Experience
Veritas (formerly Symantec), (2012 present)
Sr. Security Infrastructure Admin, Veritas Technologies (2016 present)
Security Infrastructure Admin, Symantec Corp. (2012 2016)
- Key contributor in team designed to support and troubleshoot all aspects of email archiving and e-discovery activities.
- Expertly and efficiently manage over 1K tickets per year while simultaneously providing administration and support of SQL server databases (2008/2008R2/2012/2016) for largest data center in DC across 5 locations with over 10M hourly transactions.
- Create and develop T-SQL stored procedures, SQL/SSRS reports, SQL agent jobs, PowerShell tools, and more.
West Corporation, City, ST (2012 2012)
Financial System Intern
- Responsible for supporting auditing and ordering department through creating SQL Server ad-hoc reporting.
- Successfully developed Cognos TM1 reporting for corporate budgeting group; managed active directory.
University of Nebraska-Lincoln, Lincoln, NE (2010 2012)
Research Assistant
- Served needs of professor in Finance Department in all aspects of data analysis through C++, SAS, and Excel Micros.
Technical Skills
Python/Pandas/Seaborn/Scikit Learn SQL Server 2008/R2/2016 T-SQL/SSIS/SSRS Hadoop/Pig/Hive/Spark/Sqoop Linux/Bash scripting SAS/Microsoft Excel Active Directory/DNS PowerShell Elastic Search AWS/Azure
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