Jonathan Dunn has 15 years of experience in information technology as a data analyst and business analyst. He specializes in database systems, data analysis, and technical documentation. He has experience with SDLC, QA testing, end user training, data analysis, and agile methodologies. He has worked as a database support analyst and data analyst for Texas Capital Bank and Electronic Transaction Consultants Corporation, respectively. He also has experience deploying and testing systems as well as training other analysts at Risk Sciences Group.
Data Verification In QA Department FinalWayne Yaddow
Data warehouse and ETL testing should be conducted according to a process and checklist. This presentation provides an overview of recommended methods.
Data Verification In QA Department FinalWayne Yaddow
Data warehouse and ETL testing should be conducted according to a process and checklist. This presentation provides an overview of recommended methods.
My dedication and passion in IT has provided continuous systems improvement and have successfully provided technology solutions for core, critical applications to address business needs and enhance overall productivity. With more than two decades of experience in business and systems analysis, I am effective in designing, building, testing and maintaining enablers of business processes, including technology and process solutions with a focus on medium to high complexity, multiple large application business processes and/or business relationships. I have succeeded in providing overall solution design, build and test, root cause analysis, and advanced performance tuning complex business processes and functionality. I pride myself with providing excellent leadership and support at all times.
Migrating Data Warehouse Solutions from Oracle to non-Oracle DatabasesJade Global
Though there are many standardized data warehouse solutions in the industry today, many organizations want to migrate their data warehouses to Oracle based ones primarily because of its widely accepted user base and superb support.
This whitepaper is a step-by-step guide for migrating non-Oracle database solutions to Oracle ones.
Evaluation of the importance of standards for data and metadata exchange for ...Wolfgang Kuchinke
Electronic Data Capture (EDC) in clinical research can ensure high-quality, clean data capture. Especially easy is the capture of repeating measurement like Adverse Events.
Here, a project is describes that evaluates the importance of data and metadata exchange for clinical research with the focus on EDC systems, standards that are relevant and the Computer System Validation (CSV) of EDC systems.
The project creats process descriptions, as well as necessary documents and checklists for any GCP-compliant system validation (Computer System Validation, CSV), like the Traceability Matrix.
Research networks are made aware of the necessity and importance of using EDC systems and conducting the computer system validation for regulatory compliance. The important role of CDISC standard, the standard for collection, exchange, submission to authorities and archiving of data from clinical studies is discussed in detail.
My dedication and passion in IT has provided continuous systems improvement and have successfully provided technology solutions for core, critical applications to address business needs and enhance overall productivity. With more than two decades of experience in business and systems analysis, I am effective in designing, building, testing and maintaining enablers of business processes, including technology and process solutions with a focus on medium to high complexity, multiple large application business processes and/or business relationships. I have succeeded in providing overall solution design, build and test, root cause analysis, and advanced performance tuning complex business processes and functionality. I pride myself with providing excellent leadership and support at all times.
Migrating Data Warehouse Solutions from Oracle to non-Oracle DatabasesJade Global
Though there are many standardized data warehouse solutions in the industry today, many organizations want to migrate their data warehouses to Oracle based ones primarily because of its widely accepted user base and superb support.
This whitepaper is a step-by-step guide for migrating non-Oracle database solutions to Oracle ones.
Evaluation of the importance of standards for data and metadata exchange for ...Wolfgang Kuchinke
Electronic Data Capture (EDC) in clinical research can ensure high-quality, clean data capture. Especially easy is the capture of repeating measurement like Adverse Events.
Here, a project is describes that evaluates the importance of data and metadata exchange for clinical research with the focus on EDC systems, standards that are relevant and the Computer System Validation (CSV) of EDC systems.
The project creats process descriptions, as well as necessary documents and checklists for any GCP-compliant system validation (Computer System Validation, CSV), like the Traceability Matrix.
Research networks are made aware of the necessity and importance of using EDC systems and conducting the computer system validation for regulatory compliance. The important role of CDISC standard, the standard for collection, exchange, submission to authorities and archiving of data from clinical studies is discussed in detail.
Expertise in QualityAssurance , testing DataWarehouse Systems, Waterfall and Agile - Hybrid methodologies and delivering business critical testing projects.
Has executive leadership, negotiating , communication skills and capable of providing an authoritative guidance to the team for successful delivery of the project.
A positive approach,Capable and committed TEST LEAD with a proven ability of achieving high client satisfaction, meet project timelines.
Experienced in Data engineering, finding the gaps in the data and providing suggestions to the application teams.
Strong skills in client management and expertise in performing QA assessment in delivering innovative testing solutions.
Deepen Analysis capabilities such as business process mapping, data analysis, data testing, data wrangling, data transformation mappings to build data assets that enable business value generation.
Developed reports and dashboards for threshold reporting using Tableau.
Developed Data Integrity ,data quality throughout the department by designing and promoting best practices.
Experienced in Business Insurance Data Warehouse Projects involved in deriving Business Intelligence & Analytics.
Experienced in working with data models around data warehouses and data marts to understand source data and how data needs to be landed in the target database.
Facilitated sessions with System Analysts, IT developers, Quality Analysts, and Data Engineers from Business Team, to help them better to understand processes and enhancements captured in the business requirements , Testing the Requirements / Test Points mentioned in Test Strategy.
Expert in designing the below Project deliverables
- Project metrics,
– Team Velocity Chart
- Test Strategy
- Burn Down charts
Strong experience in planning and implementing the
- Product Grooming Sessions – Sprint Planning session
- Sprint Retrospection – Daily Scrum
Strong hands on experience on the below project management tools
- Rally
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
This comprehensive program covers essential aspects of performance marketing, growth strategies, and tactics, such as search engine optimization (SEO), pay-per-click (PPC) advertising, content marketing, social media marketing, and more
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
1. JONATHAN J. DUNN
EXECUTIVE SUMMARY
A data analyst and business analyst with 15 years of experience in the Information Technology industry. An adaptable, reliable, and
helpful professional who specializes in database systems, data analysis, and preparing technical documentation. A graduate of the
University of Colorado interested in requirements gathering, cross-platform systems, and agile methodologies.
FUNCTIONAL EXPERTISE
• SDLC / Release Management
• QA Testing
• End User Relations / Training
• Querying Data
• Data Flow Analysis
• Interpreting / Analyzing Results
FUNCTIONAL EXPERTISE DEMONSTRATED
TEXAS CAPITAL BANK 2013 – Present
Regional financial institution valued at $18.6 billion.
Database Support Analyst (2013 – 2016)
• End User Relations / Training: Trained three (3) additional database support analysts, reducing new team member training time by
50%. Documented data flows for fifteen (15) data loads; documented ten (10) scheduled maintenance tasks; prepared forward- and
backward-facing troubleshooting models; demonstrated recurring tasks and troubleshooting processes to new team members;
answered questions on a daily basis.
• Data Flow Analysis: Analyzed and identified processing path for ten (10) data sources, resulting in 90% of load issues being
identified during the first hour of business. Mapped locations of source data, staged data, data warehouse, and reporting extracts.
Traced processing issues through SSIS and located data transformation objects. Summarized and escalated issues to technical teams
on a continuous basis.
• Interpreting / Analyzing Results: Chaired bi-weekly coordination meeting between database operations and development teams,
providing daily performance statistics and spearheading three (3) performance tuning initiatives. Aggregated completion times for
four (4) critical-path data loads; plotted completion times in Microsoft Excel; summarized performance trends and identified SSIS
packages and stored procedures for performance tuning.
• SDLC / Release Management: Performed database deployments in two-tier release environment, resulting in a 95% first-release
success rate. Compared SSIS packages and stored procedures between test and production environments using Red Gate SQL
Compare tool; deployed SSIS projects, packages, and stored procedures via SSMS and proprietary deployment tool; assisted
development team with issue troubleshooting; performed post-release validation and documented results for change management.
ELECTRONIC TRANSACTION CONSULTANTS CORPORATION 2008 – 2013
Top five solution provider for the toll collection industry.
Data Analyst (2008 – 2013)
• QA Testing: Tested data warehouse reports, identifying 95% of data variances between sampling of accounts and time periods.
Compared data warehouse reports against operational reports; prepared test plans from business requirements; traced ETL data
flows through transactional, intermediate, and data warehouse tables; reviewed star schema queries, identifying missing data values
and date differences.
• End User Relations / Training: Documented recurring tasks and cross-trained two (2) backups, decreasing outbound file delivery
process by 20%. Prepared step-by-step instruction documents with screen shots; identified system access and scripts required;
reviewed documents with other data analysts; prepared chart of recurring tasks and due dates.
• Interpreting / Analyzing Results: Implemented parallel test for client, explaining 100% of reporting variances and leading to client
acceptance of $1M toll collection solution. Ran daily reports and compared data, reconciled variances, identified system issues, and
provided details to developers.
• Querying Data: Reconciled payment information, identifying 100% of data variances for two-month period, two days ahead of
schedule. Compared payments against toll and fee data; matched payments to toll and fee data and identified stray payment and
fee records.
E: jjd1983d@gmail.com | T: +1 (214) 289-1899
2. RISK SCIENCES GROUP, INC. 2000 – 2008
Major provider of risk management solutions, data consolidation, reporting, and consulting.
• SDLC / Release Management: Deployed and rebuilt development, test, and production environments, providing same-day
turnaround and comprehensive bug reports. Performed scripted process to restore Oracle database, executed PL-SQL scripts, and
validated data migration. Provided detailed list of code and data issues to development team upon completion.
• QA Testing: Tested release candidates of RMIS system, identifying 10-20 user interface or database issues per release cycle.
Verified error handling on data entry and search screens; stress tested release with large data sets; regression tested new issues
against previous production release; organized test results and validated code and data fixes.
• End User Relations / Training: Reduced research time for existing issues by 33% and trained three (3) backup support specialists.
Documented recurring software and process issues. Prepared procedures and reference materials for system administration,
maintenance, and troubleshooting.
• Interpreting / Analyzing Results: Traced and classified 100% of report processing errors, highlighted reliability trends, and located
version conflicts. Prepared weekly system reliability, usage, and performance reports. Presented results in Microsoft Office formats
with performance-tuning recommendations.
EDUCATION
BA (Music) GPA: 3.82/4.00. University of Colorado (Boulder, CO)
• Business courses included Information Technology, Business Law, Economics, Marketing, Accounting, and Management.
TECHNICAL SKILLS
• SQL Server: Select, insert, update, and delete on database tables and views. Troubleshoot data loads by viewing ETL logs and SSIS
packages. Troubleshoot data load jobs, report subscriptions, and e-mail alerts. Compare procedure differences with Red Gate SQL
Compare and trace performance issues with Dell Foglight. Deploy reports, packages, and projects into databases. 2.5 years of
experience
• Oracle: Select, insert, update, and delete on database tables and views. Add and remove users and troubleshoot grants and roles.
Troubleshoot report queues and capture error logs. Create ad-hoc reports in SQL, SQL*Plus, and Microsoft Excel, and change data
display formats. 5 years of experience
• Data Warehousing: Select, insert, update, and delete on data warehouse tables. Trace ETL data flows from transactional database
to intermediate and data warehouse tables. Load data from transactional table queries, text files, and data generation tools.
Build complex SQL queries using multiple key fields, effective dates, and expiry dates. 4 years of experience
• Cross-Platform Integration: Troubleshoot TCP/IP, FTP, sFTP, remote desktop connections, file access and transfer issues between
Windows, UNIX, Macintosh, and IBM mainframe platforms. Install software updates, virtualization, and compatibility
software. Install custom applications via scripts and install packages. Troubleshoot network, e-mail, and Mac-PC migrations.
10 years of experience
• Preparing Technical Documentation: Prepare user and administrative guides for custom software applications. Prepare step-by-
step instructions for recurring tasks and processes. Update business requirement documents based on system limitations and test
results. 15 years of experience
• Quality Assurance: Manually test software following documented use cases. Test limitations of data types, file sizes, and
throughput. Identify performance trends and make tuning recommendations. 5 years of experience
CERTIFICATIONS AND AWARDS
CERTIFIED SCRUM PRODUCT OWNER (CSPO) 2015
• License # 000424668
• Content: Requirements gathering via user stories and user personas, Scrum meetings, story point estimation, and release
planning.
CERTIFIED SCRUM MASTER (CSM) 2016
• License # 000424668
• Content: Scrum meetings, user stories, burn-down and burn-up charts, sprint planning, and retrospectives.