SUMMARY

• Confidential has 30 years of experience in the information technology Industry.
• Experienced application and systems capacity and performance analysis.
• Currently engaged as Systems Capacity Planner in the Airline Transportation Industry.
• He has held a fully Adjudicated Background Investigation at the SSBI (Single - Scope Background Investigation, SF86) level. He has experience on Windows, UNIX, and Mainframe platforms.
• He has worked in the online legal and news research business and in an Office of the Federal Government.

AREAS OF EXPERTISE

• z/OS Systems Analysis
• z/OS Parallel Sysplex Performance
• z/OS Workload Management
• z/OS Capacity Planning
• z/OS Capacity & Performance Reporting
• SAS-MXG Analysis / Programming / Reporting
• RMF / SMF Reporting
• TMON
• MainView
• Splunk Search & Knowledge Objects
• Tableau
• Excel

TECHNICAL SKILLS

Technologies: z/OS, UNIX, NT, TSO, TMON, RMF, SMF, WLM, TWS, JCL, ISPF, SDSF, SAS, MXG, MS Office, Tableau, Splunk

Software: IBM z/OS Workload Manager (WLM), BMC MainView (zOS, DB2, CICS), ASG TMON, IBM RMF / RMF Spreadsheet Reporter, IBM SCRT, IBM SMP/E, IBM SDSF, IBM TSO, LRS Virtual Printer System (VPS), Tivoli Work Scheduler (TWS), Tivoli Tape Optimizer (TTO), Tivoli Decision Support (TDSz), Statistical Analysis Software (SAS), Merrill's Expanded Guide (MXG), Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Visio, Splunk, Tableau

Operating Systems: IBM z/OS, SUN Solaris, HP UX, Windows, IBM OS/2, Mac OS X

Programming and Scripting Languages: SAS, MXG, JCL, SQL, HTML, XML, C

PROFESSIONAL EXPERIENCE

Confidential, Dulles, VA

Capacity Planner

• Provide z/OS capacity and performance support, systems analysis
• Generate and enhance daily / monthly z/OS capacity & performance reporting / planning
• Maintain and enhance IBM Work Load Manager (WLM), including DDF / JDBC to DB2
• Worked through two z/OS capacity upgrades from 4000 MIPS to 7400 MIPS on an IBM z13
• Transition from ASG TMON monitoring to BMC MainView for z/OS systems monitoring
• Use of solarwinds to report on Red Hat Linux servers
• Use of DB2, SQL, Tableau, and Splunk for some analysis / reporting

Confidential, McLean VA

z/OS Sysplex Performance Tuning/Capacity Planning Specialist

• Work parallel Sysplex, system, and application performance issues related to capacity and configuration of a z/OS environment.
• Maintain Work Load Manager (WLM) to manage and control workloads in the parallel Sysplex according client needs and for optimal systems performance.
• Install and maintain MXG and MXG processing.
• Prepare z/OS capacity plans as needed.
• Maintain z/OS capacity and performance reporting.
• Provide SAS programming support.
• Provide MXG programming support.
• Perform SAS analysis of application and z/OS performance data.
• Present capacity plans and performance reporting to OPM COTAR and Director as needed.
• Work with tools such as… WLM, RMF data, SMF data, ASG TMON, IBM Performance Monitor, IBM Spreadsheet Reporter, IBM SCRT reporting.
• Back up support of Virtual Printer System on z/OS.
• Provide Tivoli Work Scheduler support.
• Provide Tivoli Tape Optimizer support.

Confidential, Miamisburg, OH

Senior Capacity & Performance Engineer

• Worked as part of a multi-platform, multi-environment team to create capacity plans for a z/OS platform exceeding 25,000 MIPS. These plans enabled the company to provide adequate performance for all internal and external customer demands, yet avoided excessive capital investment and software expense.
• Assisted in the certification of new z/OS hardware using Box Score and other custom performance analysis tools developed to evaluate product performance and capacity. This resulted in a z/OS hardware pricing negotiation advantage for the company.
• Developed Business Continuation Planning (BCP) z/OS capacity estimates based on the business product tier priorities allowing for minimal z/OS investment in a second datacenter. This provided enough capacity to satisfy business requirements and limited capital costs to acceptable levels.
• Built an MSU (million service unit) tracking and reporting system using MXG. This was used in software purchasing negotiations to get the lowest possible software pricing for the company.
• Implemented official z/OS Reliability, Availability, and Performance (RAP) reporting. This provided accurate and consistent operational customer impact assessment.
• Performed capacity and performance impact assessments of new products and changes to existing products during certification. This allowed results to be included into the z/OS capacity plans and avoid performance problems or excessive capital investment. It also provided valuable information for ‘go’ or ‘no go’ product release decisions.
• Managed z/OS initiator settings for JES2. This provided the proper batch workflow priorities according to business needs and batch time lines.
• Developed custom z/OS cost allocation (P&L) reporting. This was effectively used as an internal charge back system for IT services to other business units in the company.
• Provided support for z/OS WebSphere Application Server (WAS) and Java Virtual Machine (JVM) applications. This included product and systems monitoring and reporting which assisted in performance tuning and the ramp up of the product.
• Influenced the adoption of CA Wily Technology Introscope for performance monitoring and tracking of Java Virtual Machine (JVM) application method calls under z/OS WebSphere Application Server (WAS) and UNIX WAS. This allowed developers to identify poor performing method calls and improve the product. It also provided a means to identify garbage collection (memory leak) issues and correct them.
• Made the case for adoption of zAAP processors on zOS in support of WAS JVM applications. The addition of zAAP processors saved the company significant capital and provided better overall performance of the systems involved.
• Maintained an MXG Performance Data Base (PDB), daily and weekly PDB reporting and archiving. This allowed for multiple reporting processes useful in product capacity use and allowed for accurate planning of future capacity requirements.
• Advised and assisted with Workload Manager (WLM) priority settings for z/OS to make certain that workload priorities and flows were consistent with business requirements.
• Influenced the adoption of PROC SYNCSORT, significantly reducing z/OS SAS processing capacity requirements and improving processing performance. This cut overall system CPU and I/O use by more than 20% and improved SAS batch job response times by as much as 30%.
• Developed z/OS based and web based capacity and performance reporting of zOS systems, applications, and products. This has facilitated monitoring of product activity, performance, and capacity requirements.
• Created and maintained SAS macro and format libraries to provide common user tools and to process proprietary and non-proprietary instrumentation data. This provided extensive code reuse and enabled faster development of new production as well as ad hoc reporting.
• Responded to written and telephone requests for general and product specific activity, performance, and capacity analysis and reporting. This was instrumental in addressing various detailed management questions concerning products, their performance, customer behavior, and capacity requirements.
• Reviewed and analyzed computer printouts and performance indicators to determine problem areas and work with developers to minimize performance issues. This resulted in mainframe capacity savings.
• Application of statistical analysis to capacity and performance data in the development of new applications, online products and contributing to capacity planning. This resulted in more accurate capacity impact assessments and capacity plans.
• Received special recognition from Management Information Systems (MIS) for building code to capture, process and load customer use data into a marketing database. This allowed MIS to build several database tools to market the company products and services.
• Converted numerous manual ‘bookkeeping’ capacity and performance reporting processes into automated production reporting processes using SAS. This resulted in more timely and accurate reporting as well as development of archival data for more extensive analysis.