**Situation:** At my previous role, we operated a multi-source data platform ingesting 2B events/day from APIs, databases, and streams.
**Task:** I needed to choose and apply the right languages per layer—ingestion, transformation, orchestration, and serving.
**Action:** Python for ETL (Pandas, PySpark, Airflow DAGs) due to ecosystem and team velocity. SQL for transformations in Snowflake—push compute to warehouse. Scala for a performance-critical Spark job that needed tight JVM tuning....
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