Discovered adata qualityissue inproductionDiscovered aduplicatedataingestionissueIntergrateda newdatasourceLearned anewpython orspark trickSolveda toughbugFinished ataskahead ofscheduleAddedsubtasks toall youruser storiesReceived acomplimentfrom astakeholderor analystImproved aquery'sperformancesignificantlystayed uplate for adeadlineFoundand fixeda schemamismatchGotblockedSuccessfullydeployed adatapipelineWrote orupdated adatavalidationtestWrotedocumentationfor a previouslyundocumentedprocessattended ameeting thatcould'vebeen andemailHad to rollback adeploymentCreated newairflow Dagor similarorchestrationtoolHad a standup whereeveryonesaid "Noblockers"DiscoveredunexpecteddataProductionjob failedoutside ofworkinghoursHad PTOThissprintHelped ateammatetroubleshootSee up orimprovedlogging/monitoringDiscovered adata qualityissue inproductionDiscovered aduplicatedataingestionissueIntergrateda newdatasourceLearned anewpython orspark trickSolveda toughbugFinished ataskahead ofscheduleAddedsubtasks toall youruser storiesReceived acomplimentfrom astakeholderor analystImproved aquery'sperformancesignificantlystayed uplate for adeadlineFoundand fixeda schemamismatchGotblockedSuccessfullydeployed adatapipelineWrote orupdated adatavalidationtestWrotedocumentationfor a previouslyundocumentedprocessattended ameeting thatcould'vebeen andemailHad to rollback adeploymentCreated newairflow Dagor similarorchestrationtoolHad a standup whereeveryonesaid "Noblockers"DiscoveredunexpecteddataProductionjob failedoutside ofworkinghoursHad PTOThissprintHelped ateammatetroubleshootSee up orimprovedlogging/monitoring

Sprint 3 Retro BINGO - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Discovered a data quality issue in production
  2. Discovered a duplicate data ingestion issue
  3. Intergrated a new data source
  4. Learned a new python or spark trick
  5. Solved a tough bug
  6. Finished a task ahead of schedule
  7. Added subtasks to all your user stories
  8. Received a compliment from a stakeholder or analyst
  9. Improved a query's performance significantly
  10. stayed up late for a deadline
  11. Found and fixed a schema mismatch
  12. Got blocked
  13. Successfully deployed a data pipeline
  14. Wrote or updated a data validation test
  15. Wrote documentation for a previously undocumented process
  16. attended a meeting that could've been and email
  17. Had to roll back a deployment
  18. Created new airflow Dag or similar orchestration tool
  19. Had a stand up where everyone said "No blockers"
  20. Discovered unexpected data
  21. Production job failed outside of working hours
  22. Had PTO This sprint
  23. Helped a teammate trouble shoot
  24. See up or improved logging/monitoring