Ishan! I completely agree the tools we pick really influence how we approach problems. I’ve also found that Spark and Databricks are lifesavers for large-scale data, and dbt makes pipelines so much cleaner and easier to maintain. PyTorch is my go-to for experimenting with AI models as well.
It’s fascinating how the same challenge can lead to very different tool choices depending on whether you’re in a startup or an enterprise. Sharing these preferences really helps the community explore new ways of working and think differently about solving data problems.

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