Apache SparkIcebergAirflowPythonSQLReal-time StreamingKafka

Role Briefing: Design real-time inventory forecasting, automated replenishment, and dark store telemetry pipelines processing 200 million daily inventory updates on Swiggy Instamart.

Quick-Commerce Intelligence

Instamart is pioneering 10-minute grocery convenience across Indian metros. Maintaining 99.8% stock availability across thousands of dark stores requires predictive, real-time data streaming architectures.

Key Responsibilities

Architect petabyte-scale data lakes using Apache Iceberg, Spark on Kubernetes, and Delta Lake.

Build sub-second streaming pipelines processing SKU inventory movements, perishable waste tracking, and supplier SLAs.

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