Available to hire
I’m Guna Priya Sadhu, a Python Full Stack Developer with 5+ years of experience building scalable e-commerce and personalization platforms across retail and enterprise SaaS ecosystems.
I’ve delivered high-throughput order management and data processing systems at Walmart and Adobe, designing Python microservices, Kafka-based pipelines, and optimized PostgreSQL/Redis data layers to support millions of daily events with strong observability and performance.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior Python Backend / Full Stack Engineer at Walmart – Supply Chain & Inventory Management Platforms
June 1, 2025 - PresentDesign and develop Python-based backend services and REST APIs supporting real-time inventory visibility across stores, fulfillment centers, and e-commerce channels. Architect and build scalable, event-driven microservices to ingest high-volume inventory signals with strong consistency and availability requirements. Implement asynchronous pipelines for receipts, transfers, and fulfillment updates, reducing inventory update latency. Deliver full-stack features using Python services and modern frontend frameworks to support internal operations. Optimize backend performance using async processing, caching, and database query tuning, improving p95 API response times by peak traffic. Build data validation, reconciliation, and anomaly detection workflows to reduce downstream inventory mismatches. Integrate services with AWS infrastructure and CI/CD pipelines, improving deployment reliability and reducing release-related incidents. Implement structured logging, metrics, and alerting, reducing
Python Backend Engineer at Adobe – Adobe Experience Manager (AEM) | India
January 1, 2020 - November 1, 2023Designed and maintained Python backend services for Adobe Experience Manager and large-scale content delivery platforms. Built RESTful APIs and service integrations enabling content ingestion, transformation, and delivery across web and mobile applications. Developed batch and event-driven data pipelines in Python to process content metadata and publishing events, improving data freshness. Implemented asynchronous background workers for high-volume publishing workflows, reducing peak-time processing latency. Optimized backend performance via query tuning, caching, and refactoring, improving API response times. Integrated services with DAM systems, analytics platforms, and third-party APIs for reliable delivery. Implemented robust error handling, retries, and idempotency controls, reducing content processing and publishing failures. Built logging, monitoring, and alerting to improve production visibility and MTTR; participated in upgrades, performance testing, and security reviews.
Python Full Stack Developer at Walmart (E-Commerce Order Management & Inventory Services Platform)
June 1, 2025 - PresentDevelop full-stack features for Walmart’s e-commerce order management platform using Python (FastAPI/Django) and React, building services that handle millions of daily order and inventory updates across online and store fulfillment systems. Design and maintain RESTful APIs for order creation, inventory synchronization, and shipment tracking, supporting p95 response latency around 120–150 ms under peak traffic conditions. Build event-driven backend services using Kafka and Python workers to process 10M+ daily order and fulfillment events, enabling near real-time updates across warehouse and customer tracking systems. Optimize database performance across PostgreSQL and Redis, implementing indexing strategies and caching layers that improved order lookup and inventory query performance by 30%. Develop responsive front-end components using React, TypeScript, and Redux, improving customer and internal dashboard usability for order tracking and fulfillment operations. Deploy microservice
Python Developer at Adobe (Adobe Experience Cloud Data Processing & Personalization Services)
January 1, 2020 - November 1, 2023Developed backend services in Python (Flask/FastAPI) supporting Adobe Experience Cloud personalization and analytics workflows, building APIs used to process millions of daily customer interaction events across enterprise marketing platforms. Built data processing pipelines using Python, SQL, and Apache Spark to transform and aggregate 1–2 TB of behavioral data, enabling real-time audience segmentation and campaign targeting for enterprise clients. Designed and maintained RESTful APIs for customer profile updates, audience activation, and campaign data ingestion, keeping p95 response latency around 140 ms for high-volume marketing workloads. Implemented feature engineering and data transformation scripts using Pandas and NumPy, improving data preparation efficiency for analytics and personalization pipelines by 30%. Optimized database performance across PostgreSQL and Redis, introducing indexing strategies and caching layers that reduced query response times for customer profile look
Education
Master in Information Science at St. Louis University
January 11, 2030 - December 1, 2025Master in Information Science at St. Louis University
January 11, 2030 - December 1, 2025Qualifications
Industry Experience
Software & Internet, Retail, Media & Entertainment, Professional Services, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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