Technology Resume Writing Tips

As more people enter the technical profession, so does the competition. You'll need to be sure to include all of your technical abilities as well as any transferable skills you've obtained from other professions in order to make your resume stand out.

The first thing you need to be sure of is that your technical skills are easily readable. Potential employers shouldn't have to hunt through your resume to find out the skills you have. Break out your resume into sections. Have one section that lists all the hardware and software you're proficient in, as well as sections on technical certification and any web or database applications you've used.

You also want to be sure to not focus entirely on the technical skills you have. Many managers want to know you can transfer these skills into working with a team. Note on your resume how you were able to use your knowledge to suggest methods in achieving the company's goals. Let your personality show a bit in this section so the hiring manager can glean how you'll work within a team environment.

When listing your achievements within a company and the projects you were on, keep in mind there's no need to list every single project. You'll want to list some of the major projects and give examples as to how your performance benefited the company. Give measurable accomplishments such as how you saved the company money, enhanced efficiency, etc. Also you can include types of challenges you faced and how you overcame them. To view a sample resume Click Here (make this a .pdf document so people can see how it’s laid out in paper form rather than on the web)

Sample Resume

Art Vandalay
123 Main Street – Apt. 321
Jersey City, NJ 07302
201-555-1212 (h) 201-555-2121 (c)
Professional software engineer with eight years of experience in database management, project implementation, and architecture. Produce consistent achievements in producing projects that are both usable and scalable.

To obtain a position in a dynamic and progressive company using my experience in data
architecture and business analysis.

Knowledgeable in data analysis / administration / modeling for relational database
and data warehouse projects, business analysis, financial applications, an
insurance/reinsurance applications.
Systems:          Windows 95/98/NT/2000/XP, UNIX (Sun Solaris), VAX/VMS, MS-DOS, Mac
Languages:       C++, SQL, ODQL, Java, JavaScript, Pascal, Assembler, Prolog, LISP,
Databases:        Sybase, DB2, SQL Server, Oracle, ODBC, SQL, Informatica, DataStage,
Brio, Cayenne/Sterling, PowerDesigner, Erwin, and UML.
Software:           MS Office 97/2000, WordPerfect, MS FrontPage, MS Visio, MS Query,
Rational Purify, Quantify, Rogue Wave
Hardware:          IBM PC and compatibles, IBM 360/370

Project Planning, Project Management, Team Building, Budgeting, Business Analysis

Morgan Stanley - Individual Investors Group - New York, NY - 06/03 - Present
Senior Data Modeler / Project Manager
Brokerage Engineering Project:
Tasks included creating a logical and physical data model flexible enough to incorporate data from different source systems, beginning with WINS and Epolicy. These source systems included data from claims, finance/actuarial, agency, underwriting, and reinsurance applications. Interviewed the clients for additional business analysis necessary to complete the data model. Mapped the data elements from the old ODS to the new one designed.
Major Acomplishments: Created a unified logical view of the corporate data through the ODS design.
Environment: Data modeling, SQL, ETL mapping, Oracle, PL/SQL, Erwin, business analysis, WINS, Epolicy.
Private Wealth Management Project:
Model a star schema data warehouse to store financial analyst performance application data. Created data model, mapped data elements to their source elements, created ETL transformations necessary to load the data warehouse. Interviewed clients to gather business requirements and performed gap analysis between the requirements and the data being pulled in from the source system. Created target tables on SQL Server, and assisted in creating a reporting structure in Siebel Analytics.
Major Accomplishments: Created a star schema and ETL mapping within a 3 week window.
The database consisted of 7 dimensions, 6 facts, and 4 summary tables sourced from 8 DB2 tables and 4 text files.
Environment: Financial data modeling, financial business analysis, Informatica, Erwin, SQL Server, Siebel Analytics, gap analysis.

Merrill Lynch, New York, NY 02/99 – 06/03
Business Analyst/Data Modeler
Retirement Planning Systems Project:
Conduct business analysis and document requirements for unifying the interface and data structure of the retirement planning and retail product applications. Goal was to allow multiple users to view and analyze a customer’s assets for setting retirement goals. Personally involved in customer interviews to gather business requirements, analyzing and documenting those business requirements, and creating object oriented use case models using UML.
Major Accomplishments: Created a use case model describing the process of entering, reviewing, and editing data regarding a customer’s financial assets.
Environment: Requirements gathering, UML, Financial Business Analysis, Rational Rose, object oriented design, use case modeling.
Account Systems Project:
Lead data modeler for the data warehousing team. Core responsibility was to create logical and physical data models, using Erwin and PowerDesigner, of the unified design schema into which DB2 and flat file legacy systems would be loaded. Lead several projects from the business analysis phase through the development phase. Applications included finance, annuity financial products, PPO, TPA systems, agency, and claims. On large projects, took legacy data and designed the corporate data warehouse tables into which the data would be loaded; then designed the data marts used to feed that data into OLAP reports. On smaller projects, oversaw the database design of others, making sure naming and data standards were followed. Developed the data architecture for the corporate data mart. Interviewed user groups for requirements gathering and designed the company’s prototype analytical data mart. Participated in acceptance and performance testing. Created ETL jobs in Ascential Datastage. Performed DBA function in SQL Server 2000.
Major Accomplishments: Established, from the ground up, data naming and modeling standards for the corporate data warehouse. Created the corporate data warehouse’s logical data model, and the template data mart architecture, now used as the foundation for all future data mart/reporting database designs. Merged corporate-wide customer data into the data warehouse from several major legacy systems, including DB2 and PeopleSoft CRM.
Environment: Data modeling, business analysis, UML, data architect, data warehouse, star schema, object oriented design, UML, DB2, SQL Server, Ascential Datastage, Erwin, PowerDesigner, COBOL, Java, metadata administration, data normalization, PeopleSoft CRM, Brio, OLAP.
American International Group, New York, NY 04/95-02/99
Data Warehouse Systems Analyst (04/98 – 02/99)
Member of the data warehousing team, which oversaw the design, migration, front-end querying of reporting data. Interviewed clients to gather business requirements and conduct business analysis. Created a logical data model, using Erwin, for a data mart to create OLAP reports of four customer call center applications. Reports were created from the data mart using Crystal Reports. Created physical data models for both DB2 and Oracle. Designed Informatica ETL mappings. Involved in major project to incorporate all corporate data warehouse staging data into a universal data schema. Core responsibility was to design the details into the IBM’s data model template. Provided customer support for the business intelligence tool, Brio.
Major Accomplishments: Installed and administrated our ETL tool—Informatica.
Environment: Data modeling, business analysis, data warehousing, DB2, object oriented design, Oracle, Erwin, UNIX, Brio, Informatica, UNIX, Crystal Reports, OLAP, ETL mapping.
Systems Analyst (04/95 – 04/98)
Data administrator/modeler on relational and dimensional database projects in DB2, Sybase, and SQL Server. Also performed business analyst function overseeing business requirements gathering and business analysis. Core responsibility was to interview customers to gather the requirements for a proposed database, analyze these requirements, and then design logical and physical data models using Erwin, PowerDesigner, and Cayenne modeling tools. Participated in ongoing development of corporate data architecture. Created physical data models for DB2, SQL Server, Sybase, and Oracle. Lead modeler on several decision-support data warehouses and relational transaction databases, and organized work for junior modelers. Applications included customer call center, PNC, claims, and finance. Designed departmental webpage. Helped maintain company meta-data standards, and enter them into CA Repository.
Major Accomplishments: Created a new, unified database for two recently merged property and casualty divisions. This involved leading a JAD session with 30-40 participants for four weeks.
Environment: Data modeling, business analysis, data warehousing, DB2, Oracle, Sybase, Erwin, PowerDesigner, Cayenne, SQL Server, HTML, Cognos, metadata administration, data normalization, JAD session facilitation, Lotus Notes, UNIX, NT, CA Repository, UML.

Hofstra University – Iselin, NY
Bachelors of Science: Computer Science and Economics

Formal training in enterprise data modeling, model-driven analysis techniques, Cayenne CASE tools, DB2, SQL, SQL Server administration, DataStage ETL development, multidimensional data modeling, and object oriented design.

Return to resources