Architected and scaled a cloud-native microservices system supporting real-time pricing and inventory for 100K+ Shopify storefronts.

Developed FastAPI- and Redis-based Python microservices for sub-millisecond inventory and pricing updates.

Designed and optimized AWS infrastructure (ECS, Lambda, API Gateway, DynamoDB, RDS) for high availability and cost efficiency.

Built internal admin tools with Django REST Framework, enabling secure role-based configurations for operations teams.

Implemented CI/CD pipelines using Jenkins, GitHub Actions, and Terraform for automated build, test, and deployment workflows.

Integrated GraphQL APIs with Shopify’s platform and created internal Python SDKs to standardize service communication.

Provisioned infrastructure via Terraform, managing ECS clusters, RDS, and ALBs across dev/staging/prod with S3 state management and DynamoDB locks.

Engineered event-driven pipelines (Lambda, SQS, Step Functions) processing 50M+ events/day with fault tolerance and auto-scaling.

Developed React + TypeScript dashboards integrated with FastAPI/DRF backends for real-time merchant insights.

Migrated legacy monoliths to Kubernetes (EKS), improving deployment frequency and scalability.

Implemented observability and monitoring via Datadog, cutting incident resolution times.

Led code reviews, mentored 3 engineers, and drove adoption of clean architecture, DRY principles, and distributed system best practices.

Credit Risk Analytics Platform — Automated risk scoring system for small business loans, integrating internal banking data and external credit bureaus.

Developed scalable Python (FastAPI) microservices to calculate creditworthiness using real-time transaction data and weighted scoring models.

Built RESTful APIs for loan officer dashboards with OAuth2-based role access and integrated them with internal core banking systems.

Engineered data ingestion pipelines using AWS Lambda, S3, and Step Functions to normalize credit data from Experian and Equifax.

Automated infrastructure provisioning via Terraform and AWS CDK, deploying services in ECS with CloudWatch monitoring and alerts.

Configured EC2, VPCs, IAM, and security groups to enforce least-privilege access and secure network boundaries.

Implemented CI/CD pipelines with Jenkins, GitHub Webhooks, and Ansible for automated builds, deployments, and post-deploy configurations.

Wrote Ansible playbooks for EC2 configuration and used Ansible Vault for secrets and credential management.

Managed relational data with PostgreSQL (RDS) and SQLAlchemy; implemented schema versioning using Alembic.

Delivered 85%+ test coverage with PyTest; collaborated with QA on automated regression testing.

Contributed to Agile ceremonies, mentored junior developers, and maintained API documentation using Swagger/OpenAPI and Confluence.

Order Management Platform for Portfolio Operations — Python-based internal system to automate trade order tracking, client portfolio actions, and reporting workflows.

Developed Python (Flask/Django) microservices with PostgreSQL backend to streamline order tracking and reduce manual reporting.

Built RESTful APIs integrating third-party services (Stripe for payments, Twilio for SMS) to automate order notifications and payment flows.

Designed internal dashboards with Django REST Framework (DRF) to visualize system health, job execution, and performance metrics.

Implemented role-based access control (RBAC) and custom authentication middleware in Django for secure internal access.

Optimized backend performance by integrating Redis caching and tuning SQL queries, reducing latency by 30%.

Automated deployments with Docker and Jenkins CI/CD pipelines, deploying Django services to AWS ECS.

Developed ETL scripts using Pandas and SQLAlchemy to process Excel/CSV data into PostgreSQL tables.

Authored technical documentation (APIs, deployment steps) in Markdown and Confluence for cross-team knowledge sharing.

Followed Agile SDLC, participating in sprints, stand-ups, and reviews; contributed to story grooming and estimation.

Wrote PyTest unit and integration tests, enabling continuous delivery via GitHub Actions and maintaining release readiness.