Patrick A. Seery has over 3 years of experience programming DB2 and Oracle databases. He has a BS in Psychology and credits towards a Business Administration degree. His education also includes certificates in database design, PL/SQL, SQL, and SAS programming. For the Wisconsin Department of Transportation, he was responsible for designing, coding, and testing systems to load and maintain highway inventory data in a DB2 database, including converting location data between systems. He also added metric data and validation to their online and batch bridge data systems. Additionally, he participated in extracting, converting, and loading data between Oracle and Sybase databases for a school district in Texas.

1. Patrick A. Seery
608 772-7615
Seeryfootn@yahoo.com
Objective: Obtain internship or entry level job as data
warehouse programmer, data analyst, or operational database
programmer.
Education:
University of Wisconsin – Oshkosh. BS, Psychology Major, plus 23
credits of Business Administration.
College of Lake County, Grayslake, IL. AA Data
Processing/Programming.
Madison College Madison, WI. Web-programming Certificate
Database Education:
Madison College
Database Design and Data Warehousing. 3 credits.
OO DB design using class inheritance, and Visio 2010.
Database design for decision support data warehouses,
including star schema, fact tables, and dimension tables.
PL/SQL. Stored functions, stored procedures, triggers,
packages, custom data types, and methods. Performance
tuning and query optimization.
SQL Database Programming. 3 credits.
Relational database concepts. RDB normalization and .
modeling usng using Visio 2010. Beginning through advanced
query SQL, using an Oracle 11g database. Regular
expressions, REGEXP_LIKE(column name, ‘text strings’) and
REGEXP_SUBSTR(column name, ‘text strings’). Self,
Cartesian, inner, outer, natural, equality, and non-
equality joins. Intersection, Union, Union All, and Minus
set operators. Also Group by, Order by, Between, Like, and
Rollup. DDL for table creation. DML for Insert, Update,
Delete, Commit, Rollback, and Savepoints.

2. Oracle Database. 3 credits.
Database design, normalization, SQL, Oracle date handling,
aggregate functions, insert, update, delete, PL/SQL,
triggers, procedures, group by, union, and join. Regular
expressions, DBA functions: grant and revoke privilege,
create and drop user, enabling, disabling roles, and views.
Computer Task Group Relational Database Concepts, DB2,
SQL
3.5 credits
Cap Gemini of America Advanced DB2.
SAS Global Certification SAS Programming 1: Essentials.
Experience:
Three plus years experience of DB2 and Oracle application
programming. Highlight was the conversion to and loading of the
State of Wisconsin DB2 highway inventory database.
Relevant Work Experience
For the WI Department of Transportation was responsible for
the detail design, coding, and testing of systems for loading and
maintaining the new highway inventory DB2 database. Was also
responsible for the analysis, design, coding, testing, and
implementation of the dynamically called subroutine for the
conversion of highway segment old location data from the visual to
the new GIS location system.
Control break programs assemble highway inventory data. At
control break time the gets called to convert the highway segment
from the visual to the GUI location system. The inventory and
location data are then used to load data into the DB2 database
using SQL table row inserts updates and deletes.
For the WI Department of Transportation, was responsible for
the detail design, coding, and testing for the addition of metric
data to the online DB2, and batch DB2 bridge data systems.
The data entry portion of the on-line was converted to metric
input, with the maintenance of English data behind the scenes on
the database. Validation edits and error processing were added to
keep both the metric and English data within their respective
ranges on the database.

3. For Educational Service Center 20 in San Antonio, Texas
participated as team member facilitating an Oracle database
extraction, conversion, and load of a Sybase database. The
database design of the new Sybase database is different from the
Oracle. Flat files were used to extract the data. SQL aggregate
functions, table joins, and COBOL programming were used to write
the data to the flat files used to load the Sybase database.