- In-database Machine Learning in SQL Server 2017 lnkd.in/ekuAz-q 4 days ago
- Looks like these changes may cause some changes on how on-premises databases are managed. lnkd.in/dzNWzKK 2 weeks ago
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My Database Everything Blog
Father, husband and database professional specializing in everything SQL Server. I have been working with SQL Server since 6.5 and have loved to see the progression of the product. I am an avid PASS volunteer, speaker and chapter leader since 2001. I was the chapter leader for the Triad SQL Server User Group in Winston-Salem, NC off and on for many years.
My IT experience spans responsibilities as a database manager, architect, senior database administrator and database developer for mission critical systems in reverse logistics, telecommunications, health insurance, legal, professional sports, payroll and banking industries with demonstrated leadership in my local community as a volunteer and professional leader within the SQL Server community.
For a detailed and always up to date work history, please make sure to visit my LinkedIn page: http://www.linkedin.com/in/SQLMiguel
- Corporate Vice President – Data Management New York Life Insurance Company
Drive the vision, strategy and principles over enterprise-wide data management and architecture. Serve as the liaison between data consumers, data solutions development, integration and governance teams. Direct business intelligence and database development professionals to meet our strategic data management vision. Lead the education and development of new Business Intelligence and Reporting solutions.
- Database Manager – Bunch, Inc. in Lakeland, FL.
Responsible for enterprise-wide guidance and coordination of the company’s database administration and database infrastructure in support of internal and external customers. Lead a team of developers and database administrators in the migration of the main application databases off of an Oracle to a SQL Server database platform. Establish all database standards to exceed client security requirements and availability. Manage database administrators to ensure 99.9% availability of mission critical databases to changing business needs.
- Database Manager – Inmar, Inc. in Winston-Salem, NC.
Inmar was a fast-paced rapid growth environment that required careful management and planning of resources. New infrastructure decisions were always made with an eye towards the flexibility of quickly growing environments with minimal interruption to existing applications. As part of the infrastructure team, I worked closely with the SAN administrator and system administrators to optimize HBA, file allocation sizes and spindle counts to ensure our largest systems would handle increasing volumes of transactions. Our disaster recovery plans and procedures were revamped to ensure any trained database administrator could execute the disaster recovery plan and would meet our corporate Service Level Agreement of recovering systems within 72 hours of the initial disaster. Initiated and led a bi-weekly meeting with the majority of the IT department to discuss new standards, technology and up-coming changes to our infrastructure.
- Senior Database Administrator / Team Lead – Republic Mortgage Insurance in Winston-Salem, NC.
Responsible for enterprise-wide administration and architecture of several mission critical SQL Server database management systems. Lead and provided guidance to less experienced DBAs for ongoing process improvement, while enhancing mission critical systems to more efficiently handle customer requests and growing volume of data. Hired and led database contract resources and assigned tasks for database development. Managed and architected the migration of a legacy FoxBase system to a newly developed SQL2005 and web-based .Net 2003 application. Architected OLTP and DSS models in Erwin 7.0 to meet business needs. Developed disaster recovery plans, database backup strategies, data archive, data audit trail capabilities and planned disk space utilization by capturing and trending burn rate. Re-architected the maintenance of data history and archiving on 12 high volume database tables saving 1.5 million redundant records from being written and 2.4 gigabytes worth of data storage saved on a monthly basis. Insured 100% accurate migration of data from de-normalized data structures into more normalized data structures utilizing DTS, VBScripts, and stored procedures.