Building a portfolio for Data Engineerings projects


Any tips, advices?

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1. DevOps
2. Cluster configuration and sizing comparative to task
3. Git integration and git rationalization strategies, merging branches
4. Static and streaming ingestion
5. Pipelining, frameworks, and parameterization
6. Jenkins integration and reporting
7. Sandbox / Dev / PROD
8. Jira: story and feature writing, dependency identification and scoping
9. Bug tracking,

All specifically called out tools can be substituted with others...

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Thank you very much

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