Navyasri Arkatla

Python Full Stack Developer at Walmart

Pioneered FastAPI services to support file uploads, advanced search filters and template downloads; improved internal and merchant usability by ~40% through cleaner endpoints and UX-focused response handling. Built robust Excel validation scripts (Pandas / openpyxl patterns) for case-insensitive header checks and data type validations; integrated automated error reporting to reduce data ingestion errors by ~35%. Designed and implemented APIs to automate new store order processing (store validation, SKU-level exports), cutting manual processing time by ~50%. Implemented parallel/async retrieval of large datasets from MongoDB (async patterns / batch retrieval), improving data fetch throughput by ~30% for analytics and exports. Developed scheduled ETL pipelines for anomaly detection in daily orders using PySpark for feature extraction and Celery for orchestration; surfaced anomalies to downstream monitoring and ops. Automated build/test/deploy workflows using Docker and Azure DevOps pipel

Python Full Stack Developer at Shopify

Built backend services (Django / Flask / FastAPI) powering merchant workflows: product/catalog management, order validation, and export pipelines used by internal operations. Automated reporting and export flows (SKU-level exports, scheduled reports) using Python scripts and APIs — reduced manual reconciliation and errors by ~45%. Implemented server-side validation and improved checkout reliability by integrating robust input validation and retry logic for payment gateway calls. Implemented caching and fast storage patterns using Redis and improved query patterns for high-traffic endpoints to significantly reduce latency during peak usage. Containerized microservices with Docker; enabled reproducible local and CI builds and simplified test environments. Deployed services with container orchestration patterns (Kubernetes-friendly manifests) to support reliable scaling for traffic spikes. Built internal API endpoints with clear contracts and unit + integration tests (PyTest); integrate

Python Full Stack Developer at Walmart

Pioneered FastAPI services to support file uploads, advanced search filters and template downloads; improved internal and merchant usability by ~40% through cleaner endpoints and UX-focused response handling. Built robust Excel validation scripts (Pandas / openpyxl patterns) for case-insensitive header checks and data type validations; integrated automated error reporting to reduce data ingestion errors by ~35%. Designed and implemented APIs to automate new store order processing (store validation, SKU-level exports), cutting manual processing time by ~50%. Implemented parallel/async retrieval of large datasets from MongoDB (async patterns / batch retrieval), improving data fetch throughput by ~30% for analytics and exports. Developed scheduled ETL pipelines for anomaly detection in daily orders using PySpark for feature extraction and Celery for orchestration; surfaced anomalies to downstream monitoring and ops. Automated build/test/deploy workflows using Docker and Azure DevOps pipel

Python Full Stack Developer at Shopify

Built backend services (Django / Flask / FastAPI) powering merchant workflows: product/catalog management, order validation, and export pipelines used by internal operations. Automated reporting and export flows (SKU-level exports, scheduled reports) using Python scripts and APIs — reduced manual reconciliation and errors by ~45%. Implemented server-side validation and improved checkout reliability by integrating robust input validation and retry logic for payment gateway calls. Implemented caching and fast storage patterns using Redis and improved query patterns for high-traffic endpoints to significantly reduce latency during peak usage. Containerized microservices with Docker; enabled reproducible local and CI builds and simplified test environments. Deployed services with Kubernetes manifests to support reliable scaling for traffic spikes. Built internal API endpoints with clear contracts and unit + integration tests (PyTest); integrated endpoints into frontend teams’ workflows

Python Full Stack Developer at Walmart

Pioneered FastAPI services to support file uploads, advanced search filters and template downloads; improved internal and merchant usability by ~40% through cleaner endpoints and UX-focused response handling. Built robust Excel validation scripts (Pandas / openpyxl) for case-insensitive header checks and data type validations; integrated automated error reporting to reduce data ingestion errors by ~35%. Designed and implemented APIs to automate new store order processing (store validation, SKU-level exports), cutting manual processing time by ~50%. Implemented parallel/async retrieval of large datasets from MongoDB; improved data fetch throughput by ~30% for analytics and exports. Developed scheduled ETL pipelines for anomaly detection in daily orders using PySpark for feature extraction and Celery for orchestration; surfaced anomalies to downstream monitoring and ops. Automated build/test/deploy workflows using Docker and Azure DevOps pipelines; reduced deployment lead time by ~40% an

Python Full Stack Developer at Shopify

Built backend services (Django / Flask / FastAPI) powering merchant workflows: product/catalog management, order validation, and export pipelines used by internal operations. Automated reporting and export flows (SKU-level exports, scheduled reports) using Python scripts and APIs — reduced manual reconciliation and errors by ~45%. Implemented server-side validation and improved checkout reliability by integrating robust input validation and retry logic for payment gateway calls. Implemented caching and fast storage patterns using Redis and improved query patterns for high-traffic endpoints to significantly reduce latency during peak usage. Containerized microservices with Docker; enabled reproducible local and CI builds and simplified test environments. Deployed services with container orchestration patterns (Kubernetes-friendly manifests) to support reliable scaling for traffic spikes. Built internal API endpoints with clear contracts and unit + integration tests (PyTest); integrate

Python Full Stack Developer at Walmart

Pioneered FastAPI services to support file uploads, advanced search filters and template downloads; improved merchant usability by ~40% through cleaner endpoints and UX-focused response handling. Built Excel validation scripts (Pandas/openpyxl) for header checks and data type validations, with automated error reporting to reduce data ingestion errors by ~35%. Designed APIs to automate new store order processing (store validation, SKU-level exports), cutting manual processing time by ~50%. Implemented parallel/async retrieval of large datasets from MongoDB to boost analytics/exports throughput by ~30%. Developed scheduled PySpark ETL pipelines for anomaly detection in daily orders with Celery orchestration; surfaced anomalies to monitoring. Automated build/test/deploy workflows using Docker and Azure DevOps, reducing deployment lead time by ~40% and standardizing releases. Enhanced API resilience with structured logging, health checks and metrics exposed to Prometheus/Grafana.

Python Full Stack Developer at Shopify

Built backend services (Django/Flask/FastAPI) powering merchant workflows: product/catalog management, order validation, and export pipelines. Automated reporting and SKU-level exports, reducing manual reconciliation and errors by ~45%. Implemented server-side validation and retry logic for payment gateway calls, improving checkout reliability. Introduced Redis caching and optimized query patterns for high-traffic endpoints, reducing latency during peak usage. Containerized microservices with Docker, enabling reproducible local/CI builds and simpler test environments. Deployed services with Kubernetes manifests to support reliable scaling for traffic spikes. Built internal API endpoints with clear contracts and unit/integration tests (PyTest) and integrated endpoints into frontend workflows.

Python Full Stack Developer at Walmart

Led FastAPI services for file uploads, advanced search filters, and template downloads; cleaner endpoints and UX-focused responses boosted internal and merchant usability by about 40%. Implemented Excel validation scripts using Pandas and OpenPyXL for case-insensitive headers and data type checks, with automated error reporting reducing data ingestion errors by about 35%. Designed APIs to automate new store order processing, including store validation and SKU-level exports, cutting manual processing time by about 50%. Implemented parallel and async retrieval of large datasets from MongoDB to improve analytics and exports throughput by about 30%. Built scheduled ETL pipelines for daily order anomaly detection using PySpark and Celery; surfaced anomalies to monitoring and operations. Automated build/test/deploy with Docker and Azure DevOps pipelines, reducing deployment lead time by about 40% and standardizing releases. Added structured logging, health checks, and metrics for resilience