- Working with serialization formats
- Evaluating modeling requirements and selecting the right model for the business case
- Using jq and getting what you need from JSON fields
- Handling cron and bash scripting and getting ETL jobs to run
- Tuning and optimizing SQL
- Working on containers and orchestration debugging
- Shaping, understanding, and describing your data
- Reasoning about distributed systems
- Being defensive around data you ingest that impacts your ML pipeline
- Integration testing across distributed file stores
3
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love the story told, quite a classic vibe
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