Senior Backend Engineer - Fintech, Microservices Expert

Sivani Patibandla

Software Engineer

PA, USA Phone: +1-412-***-**** Email: ****************@*******.*** LinkedIn SUMMARY

Software Engineer with 4+ years of experience designing and building scalable cloud-native microservices and distributed systems using Python, FastAPI, and Flask. Experienced in developing high-performance RESTful APIs and backend platforms for fintech and enterprise applications, handling high-volume transactions with a focus on reliability, high availability, and performance optimization. Skilled in AWS and Azure cloud environments, containerization with Docker and Kubernetes, and CI/CD automation to deliver resilient, production-ready systems. Strong background in data pipelines, AI/ML integration, and API-driven architectures, collaborating in Agile teams to design and deploy scalable software solutions.

TECHNICAL SKILLS

Programming Languages: Python, Java, JavaScript, TypeScript, Go (Golang), C++, SQL Backend Development: Django, Flask, FastAPI, RESTful APIs, GraphQL APIs, WebSockets, Microservices Architecture, Asynchronous Programming (AsyncIO, Celery), JSON, XML

Frontend Development: React.js, Angular, HTML5, CSS3, Bootstrap, JavaScript, TypeScript, Responsive UI Development Databases: PostgreSQL, MySQL, SQL Server, MongoDB, DynamoDB, Data Modeling, Query Optimization, Indexing, Transactions Cloud Platforms: AWS (EC2, S3, Lambda, CloudWatch, SNS, SQS), Microsoft Azure (App Services, Azure Functions, Azure SQL, Cosmos DB), Serverless Architectures, Cloud-Native Development AI / Machine Learning: Machine Learning Algorithms, Regression, Classification, Clustering, Model Evaluation, Pandas, NumPy, Scikit-learn, OpenAI API, LangChain, LLM Integration, Prompt Engineering, Vector Search DevOps & Tools: Docker, Kubernetes, Jenkins, Terraform, Git, GitHub Actions, CI/CD Pipelines, Infrastructure as Code (IaC), Linux, Shell Scripting

Testing & Quality Engineering: Unit Testing, Integration Testing, End-to-End Testing, JUnit, PyTest, Jest, SoapUI, JMeter, Code Reviews, API Testing

Software Engineering Practices: SDLC, Agile, Scrum, Sprint Planning, Retrospectives, Jira, Trello, IoT Systems, Device-to-Cloud Integration, Telemetry & Diagnostics, Firmware Update Pipelines, MES Integration, Metrics & Dashboards, API Performance Testing PROFESSIONAL EXPERIENCE

JP Morgan Chase & Co. PA, USA

Software Engineer Jan 2025 - Current

Developed 12+ scalable backend microservices using Python with FastAPI and Flask to build high-performance RESTful APIs supporting 100K+ daily financial transactions across enterprise banking applications.

Designed and implemented microservices architecture for 8+ distributed services, enabling secure data exchange across banking systems and improving system reliability by 30%.

Designed scalable distributed microservices with API gateway routing, asynchronous processing, and distributed caching using Redis, improving system performance, reliability, and API response times for 100K+ daily transactions.

Integrated backend services with AWS cloud technologies including EC2, S3, Lambda, API Gateway, and CloudWatch, enabling auto- scaling deployments handling 50K+ API requests per day and improving system observability and monitoring.

Built and optimized data pipelines processing 5M+ transactional records, using Python and SQL to support analytics, reporting platforms, and operational dashboards.

Implemented machine learning models using Python, Pandas, and Scikit-learn to analyze transaction patterns and support anomaly detection and fraud risk analysis.

Collaborated with cross-functional teams of 10+ engineers in Agile environments, contributing to architecture design, code reviews, CI/CD deployments, and production support for enterprise-scale banking systems.

Implemented secure authentication and authorization using OAuth2 and JWT, protecting sensitive financial data across 15+ internal APIs and ensuring compliance with enterprise security standards. HCLTech PA, USA

Software Engineer Intern Jun 2024 - Nov 2024

Assisted in developing backend services using Python with FastAPI and Flask to build RESTful APIs supporting enterprise applications and internal data services.

Implemented data processing and validation logic using Python and SQL, helping prepare structured datasets for analytics and reporting systems.

Assisted in developing event-driven microservices using Apache Kafka, enabling asynchronous communication between services and improving scalability of data processing pipelines.

Participated in unit testing and debugging of backend modules using PyTest, identifying defects and improving reliability of API endpoints and application services.

Collaborated with senior engineers in an Agile development environment, contributing to sprint tasks, code reviews, documentation, and deployment activities using Git-based workflows.

Hexaware India

Software Engineer Aug 2021 - Dec 2022

Developed backend services using Python with Flask and FastAPI to build scalable RESTful APIs supporting enterprise business applications and operational workflows.

Designed and implemented API integrations with internal and third-party systems, enabling reliable data exchange and improving interoperability across distributed services.

Implemented backend data processing and business logic using Python and SQL, handling data validation, transformation, and persistence for transactional and reporting systems.

Deployed and managed backend services on AWS and implemented caching layers for APIs, improving system performance and reducing repeated database queries for enterprise applications.

Wrote optimized SQL queries using PostgreSQL and MySQL and collaborated in Agile development environments, contributing to code reviews, testing, and deployment of backend features. MetaSystems India

Junior Software Engineer Feb 2021 - Jul 2021

Developed backend services using Python with Flask and FastAPI to build RESTful APIs that supported internal business applications and enabled efficient data exchange across multiple systems.

Implemented backend data processing logic using Python and SQL, handling data validation, transformation, and storage for operational workflows and reporting systems.

Built secure API endpoints using Python with Flask and FastAPI, enabling integration between internal services and improving accessibility of application data for downstream systems.

Wrote and optimized SQL queries using PostgreSQL and MySQL to efficiently retrieve, store, and manage large volumes of application data used in backend services.

Assisted in debugging, testing, and maintaining backend applications using Python, PyTest, and Git, contributing to improved code quality, stability, and smooth development workflows within the engineering team. EDUCATION

Robert Morris University, PA, USA Jan 2023 - Dec 2024 Master of Science in Information Systems Management PROJECTS

AI-Driven Operational Analytics Dashboard

Developed a full-stack analytics platform using Python, FastAPI, React, and PostgreSQL to monitor and analyze operational KPIs through interactive dashboards.

Implemented machine learning models (regression and clustering) using Scikit-learn to detect trends and identify anomalies in operational data.

Integrated OpenAI API and built RESTful APIs with FastAPI to generate automated insight summaries and deliver analytics data to real-time dashboards.

Intelligent Document Processing System (GenAI)

Built a Python-based document analytics pipeline using LangChain and OpenAI embeddings to automate document ingestion, processing, and information extraction.

Implemented vector search and semantic retrieval to enable contextual querying and efficient knowledge discovery across large document collections.

Developed LLM-powered workflows and REST APIs to classify, summarize, and visualize document insights with dashboards and model confidence scores.

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