Swapnanil Das

● Built Pandas-based ETL pipelines for transactional datasets used by internal recommendation models, enabling merchandising teams to improve online cross-sell opportunities and increasing weekly digital basket size by 11%.
● Improved PostgreSQL-backed inventory reporting systems through indexing and query optimization, reducing dashboard refresh latency by 27% for analytics supporting store-level demand forecasting operations.
● Implemented Redis-based caching layers for checkout session services consuming promotion model outputs, improving response times by 20% during real-time pricing updates across Kroger’s digital commerce platform.
● Containerized backend analytics services using Docker and Kubernetes supporting deployment of ML-assisted recommendation modules, improving release reliability by 21% across Kroger’s online grocery fulfillment ecosystem.
● Designed MongoDB-backed event-driven services for purchase tracking, enabling near real-time customer segmentation that improved targeted promotional campaign performance across Kroger’s digital storefront applications by 13%.
● Established PyTest-based integration testing frameworks for ETL services monitored through CloudWatch and ELK Stack, reducing production data validation failures by 22% across analytics pipelines.

● Built Django-based OMS microservices integrated with internal demand prediction models, improving real-time inventory
synchronization accuracy by 24% across distributed warehouse fulfillment operations.
● Refactored product catalog ingestion APIs using Flask and REST services supporting ML-based SKU classification workflows,
reducing manual merchandising effort and accelerating vendor onboarding timelines by 28%.
● Developed FastAPI modules for checkout pricing services consuming promotion recommendations from internal AI systems,
improving campaign rule execution consistency by 19% across region-specific storefront deployments.
● Implemented asynchronous webhook-based vendor integration pipelines automating stock updates, reducing catalog mismatch
incidents by 25% and enabling anomaly detection workflows across external marketplace inventory feeds.
● Enhanced checkout orchestration services using GraphQL integrations, enabling backend systems to consume ML-generated
pricing suggestions, improving promotional deployment turnaround time by 17% across consulting engagements.
● Integrated secure payment gateway services within OMS microservices using asynchronous processing, reducing checkout
transaction retries by 15% during peak campaign events across retail client platforms.
● While contributing to engagements, integrated third-party logistics APIs with OMS platforms, improving multi-vendor order
routing accuracy by 21% across distributed fulfillment networks.