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JAVA DEVELOPER
At age 25, Nathan has got 3 years of experience
and is a team leader in the applications division
of his company's IT group. |
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The company where Nathan works does financial services
with offices all over the place, but Nathan's apps group
is based in Charlotte. He has three people on his team
and they all report to Sajeev who runs one group within
Internal DataServices Engineering. Sajeev gets regular
requests from Corporate Strategy and Corporate Intelligence
to build tools that help the company better understand
what's going on with their customers. Sajeev specializes
in data mining and is really good at figuring out practical
ways of extracting and presenting really complex data
models simply. Nathan has learned a lot from him and eventually
wants to become an information architect.
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9:30 a.m.
Nathan has a meeting with Sajeev and the two other
team leaders. They are dividing up the workload
on a new project. By the time the meeting is over,
Nathan has 73 man-days worth of engineering work
for himself and his team. They have to figure out
several different kinds of data transformations
that will produce properly formatted XML documents
and write the app components that will drop into
the overall project. The other teams will handle
UI implementations and some library clean up, and
incremental builds. |
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Lunch
After the meeting Nathan jumped right into the MS
Project Plan for this project (code named "Vixen")
and already had it about 60% done by 12:30. He went
to lunch with Renee and Jerry. Van from another
team in his group joined them. They talked about
taking an in-house training on JavaBeans, Nathan's
cousin in Seattle who was working on .NET web services,
a new video game, and Renee's latest story from
her Tae Kwon Do class. She was a green belt.
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3:00 p.m.
By 3:00 Nathan had finished the work breakdown planning and project schedule for his team. They met and all agreed that the project
was feasible and were excited about the work. In
under 2 months time, using Vixen, Corporate Strategy
would be able to randomly profile their over 18
million customers by 9 different demographic metrics
and get 3D visualization of their spending and saving
behavior. Pretty cool!
Nathan particularly liked Vixen because he would
be coding a lot and he would also meet regularly
with the UI implementation lead. The two of them
would be making design recommendations to Sajeev,
instead of the other way around.
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