Python Full-Stack Engineer with Azure Expertise

Lavanya Gali

Full Stack Engineer

+1-802-***-**** ****************.******@*****.***

SUMMARY

Python Full Stack Engineer with 5+ years of experience building secure, scalable, and high-performance backend systems across financial and enterprise cloud environments at Microsoft and Citibank. Skilled in developing event- driven microservices using Python (FastAPI, Flask), Azure Functions, Durable Functions, and Kafka-based streaming architectures. Proven ability to deliver end-to-end full-stack applications using React.js, TypeScript, Redux, and real- time WebSocket communication.

PROFESSIONAL EXPERIENCE

Microsoft Apr 2025 - Present

Python Full Stack Engineer

• Designed and developed backend microservices using Python (FastAPI) + Azure Functions, enabling users to create, schedule, and run AI-powered workflows that interact with Microsoft 365, Teams, SharePoint, and external APIs.

• Built a modular workflow orchestration engine leveraging Azure Durable Functions and Logic Apps, supporting parallel steps, retries, state persistence, and event-driven triggers across complex user-defined pipelines.

• Integrated Copilot and Microsoft Graph APIs to allow automated task execution (email drafting, document summarization, meeting scheduling), increasing workflow automation success rates by 28%.

• Developed a full-stack UI using React.js, TypeScript, Redux Toolkit, with drag-and-drop workflow builders, dynamic node linking, validation layers, and real-time execution status via WebSockets.

• Implemented secure tenant-aware data storage using Azure Cosmos DB with partitioning, indexing, and RBAC policies, ensuring scalable and compliant multi-tenant environment for enterprise customers.

• Built event-streaming integrations using Azure Service Bus + Event Hub, enabling real-time triggers for workflow steps and reducing execution latency by 35% across high-volume automation pipelines.

• Deployed containerized backend services on Azure Kubernetes Service (AKS) with Helm charts, horizontal pod autoscaling, and API gateway routing, achieving consistent 99.99% uptime under production workloads.

• Developed role-based access control (RBAC) and secure authentication using OAuth2 + Azure Active Directory, enforcing granular permissions for workflow creation, execution, and audit access.

• Set up CI/CD pipelines using GitHub Actions + Azure DevOps, automating tests (PyTest, Jest), linting (Flake8, ESLint), image builds, and blue-green deployments across staging and production.

• Implemented observability and error diagnostics using Application Insights, Prometheus, and Grafana, exposing metrics such as workflow step latency, service errors, AAD auth failures, and system health for proactive monitoring. Citibank – INDIA Jan 2020 – Nov 2024

Python Developer

• Developed real-time fraud detection microservices using Python (FastAPI) with <120 ms latency, powering transaction scoring for millions of daily Citi credit card, UPI, and wire transfers.

• Implemented streaming pipelines with Apache Kafka + Kafka Streams to ingest transaction events (geo-location, merchant type, device fingerprinting), enabling sub-second risk evaluation across multiple regions.

• Built rule-based and ML-enhanced decision layers, combining XGBoost anomaly scores + deterministic risk rules, reducing false positives by 23% and improving detection accuracy by 31%.

• Designed scalable feature generation workflows using Redis + PostgreSQL, computing real-time features like transaction velocity, spending patterns, device history, and merchant frequency in under 20 ms.

• Integrated fraud-scoring APIs with Citi’s core banking systems using REST + gRPC, enabling seamless decisioning during checkout, ATM withdrawals, and international transfers.

• Developed asynchronous batch-processing modules using Celery + RabbitMQ for investigating suspicious transactions, rule updates, and daily model calibration.

• Implemented geo-velocity anomaly detection and device fingerprint matching algorithms using Python, NumPy, and Pandas, identifying high-risk location-based fraud with >92% precision.

• Containerized and deployed all services on Kubernetes (OpenShift) with auto-scaling, health checks, and circuit breakers, ensuring 99.99% uptime during peak festive and payroll periods.

• Collaborated with Compliance & InfoSec teams to enforce PCI-DSS, SOC2, AML, and KYC requirements, implementing encrypted PII storage and secure audit trails for all risk-related actions. TECHNICAL SKILLS

Programming & Scripting: Python, JavaScript, TypeScript, SQL, Bash, HTML5, CSS3 Backend Frameworks & Services: FastAPI, Flask, Django, RESTful APIs, gRPC, Celery, RabbitMQ, Redis, Azure Functions, Azure Durable Functions, Logic Apps

Frontend Development: React.js, TypeScript, Redux Toolkit, WebSockets, Component-Based Architecture, Drag-andDrop UI, Form Validation

Data Pipeline & Event Streaming: Apache Kafka, Kafka Streams, Azure Service Bus, Azure Event Hub, Real-Time Event Processing, Feature Pipelines, ETL Workflows

Databases & Storage: PostgreSQL, Azure Cosmos DB, MySQL, Oracle DB, Redis (Caching & Real-Time Features), NoSQL Stores, Partitioning, Indexing, RBAC Policies

Deployment, Containers & MLOps/DevOps: Docker, Kubernetes (AKS, OpenShift), Helm, Horizontal Pod Autoscaling

(HPA), Blue-Green Deployments, Canary Releases, API Gateway Routing CI/CD & Automation: GitHub Actions, Azure DevOps, Jenkins, Automated Testing (PyTest, Jest), Linting (Flake8, ESLint), End-to-End CI/CD Pipelines

Cloud Platforms & Services: Microsoft Azure (AKS, Cosmos DB, Service Bus, Event Hub, API Management, Key Vault, Application Insights), Red Hat OpenShift, Azure Active Directory (AAD), OAuth2.0, JWT Authentication Monitoring, Logging & Observability: Prometheus, Grafana, Application Insights, Log Aggregation, API Latency Monitoring, Distributed Tracing

Software Architecture & System Design: Microservices Architecture, Event-Driven Systems, Distributed System Design, High-Availability APIs, Fault-Tolerant Services (Retries, Circuit Breakers) Security, Compliance & Governance: OAuth2, Azure AD, JWT, PCI-DSS Compliance, SOC2 Controls, AML/KYC Requirements, Secure Audit Logging, Encrypted Storage Communication & Collaboration: Agile, Scrum, Code Reviews, A/B Testing, Version Control (Git, GitHub, GitLab), Crossfunctional Collaboration, Technical Documentation Development Environments & Tools: VSCode, Postman, Linux Environments, JIRA, Confluence, Docker Compose, Git CLI EDUCATION & CERTIFICATION

Master of Science in Computer and Information Sciences Saint Louis University

GITHUB Foundations Certificate

Certified Associate in Python Programming - PCAP

AWS Solutions Architect Associate - SAA-CO3

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