Senior Python Backend Developer (FastAPI/Django)
Resume:
LEKHA SREE
848-***-**** *****.*****@*****.*** LinkedIn: linkedin.com/in/lekha-sree-b6b991430
PROFESSIONAL SUMMARY
Senior Python Developer with backend development experience spanning financial services, enterprise, automotive, and retail environments. Builds and maintains Python microservices and REST APIs with FastAPI, backed by hands-on production work in Docker, Django,Jenkins CI/CD,PostgreSQL and SQL-driven data access layers. Comfortable owning application enhancements, troubleshooting production issues, and running Python applications in Unix/Linux environments end to end. Currently building backend services for a trading application at Nomura.
TECHNICAL SKILLS
Programming: Python, JavaScript, TypeScript
Backend & APIs: FastAPI, Django, Django REST Framework, REST APIs, Microservices
Frontend: React, TypeScript
Databases: Oracle SQL, SQL, PL/SQL, MySQL, PostgreSQL
Cloud & DevOps: Docker, Jenkins, Git, GitHub, CI/CD, Unix/Linux
Testing: pytest, Unit Testing, Integration Testing
Development Tools: VS Code, PyCharm
PROFESSIONAL EXPERIENCE
Senior Python Developer — Nomura Jan 2026 – Present
New York, NY
•Develop and maintain Python microservices supporting an internal trading application, delivering enhancements and resolving production issues.
•Developed and maintained scalable Python/Django backend applications supporting enterprise and financial services workflows.
•Build REST APIs using FastAPI to support application functionality and communication between services.
•Designed Django backend modules using Django ORM, implementing models, relationships, queries, and database transactions.
•Optimized PostgreSQL queries and indexes to improve backend application performance and response times.
•Write SQL queries to retrieve and manage application data used by the Python services.
•Developed Python/Django backend services supporting trading application workflows within an investment banking environment.
•Containerize services with Docker to support consistent deployment across environments.
•Built Django REST APIs for application integrations, data retrieval, and business process automation.
•Designed and optimized PostgreSQL data models and SQL queries supporting high-volume trading application workloads.
•Built and maintained Django REST APIs for trading-related data retrieval, processing, and integration with downstream services.
•Used Django ORM and PostgreSQL for database operations, transaction management, data validation, and backend processing.
•Deploy and release application changes through Jenkins as part of the team's CI/CD process.
•Performed database troubleshooting, data validation, and performance tuning for production applications.
•Developed an agentic AI workflow using Python and LLMs to orchestrate user queries, trading-related data retrieval, and response generation for an internal chatbot.
•Provide production support for the trading application, troubleshooting issues and implementing fixes.
Senior Python Developer — SumTotal Sep 2020 – Dec 2023
•Developed Python backend services and REST APIs for SumTotal's enterprise application.
•Worked with SQL to retrieve and manage application data used by the Python services.
•Developed reusable Django components and backend services while troubleshooting production issues and implementing application enhancements.
•Containerized services with Docker and used Jenkins to support automated deployments.
•Handled production issues and delivered application enhancements, troubleshooting and resolving problems as they arose.
Python Developer — Infosys Sep 2019 – Aug 2020
Client: RBS Banking
•Built and maintained Python applications and backend services for RBS Banking, delivering application enhancements and resolving production issues.
•Implemented authentication, authorization, request validation, exception handling, and logging within Django-based applications.
•Developed complex SQL queries, joins, aggregations, and database operations to support business-critical applications.
•Troubleshot production issues across Python/Django APIs and PostgreSQL, implementing fixes and application enhancements.
•Used Django ORM with PostgreSQL for efficient data access, CRUD operations, filtering, and transaction management.
•Designed and optimized PostgreSQL databases for Python/Django backend applications, including tables, relationships, indexes, and constraints.
•Integrated Django applications with external services through REST APIs and asynchronous backend workflows.
•Worked with REST APIs to support application functionality and integrate Python services with other system components.
•Wrote and maintained SQL/PL-SQL scripts to retrieve and manage application data used by the Python services.
Python Developer — IBM Jun 2016 – Aug 2019
Client: BMW — Automotive
•Automated daily verification and validation checks using Python, replacing roughly 30 minutes of repetitive manual checks each day and cutting manual verification effort by around 30%.
•Built Python backend services and REST APIs to process verification requests, run validation logic, handle exceptions, and return results to downstream application components.
•Built reusable React components in TypeScript, integrating them with the Python REST APIs to display verification results, validation status, and error details.
•Worked with Oracle SQL to retrieve and manage application data consumed by the Python services.
•Packaged Python applications and their dependencies with Docker to give the team consistent development and testing environments.
•Wrote pytest test suites covering Python services and API functionality; managed code through Git and ran automated builds and tests through Jenkins CI/CD.
•Supported the Python applications in Unix/Linux environments, including scheduled job execution, log monitoring, and troubleshooting.
Client: IKEA — Retail
•Developed and maintained Python applications and REST API integrations to automate data ingestion and keep operational data in sync across retail systems.
•Managed application changes through GitHub and CI/CD pipelines, and wrote unit and integration tests with pytest to improve release quality and deployment reliability.
•Refactored SQL/PL-SQL queries and Python scripts to correct join logic and strengthen validation, improving the accuracy and speed of downstream processing.
EDUCATION
B.Tech, Information Technology (Distinction) — Jawaharlal Nehru Technological University, Kakinada, India — Sep 2012 – May 2016
CERTIFICATIONS
•IBM: Python for Data Science; IBM Watson Chatbots; DevOps
•Dataquest: Python, Intermediate
•SAS: Base SAS Programming I
•Udemy: Python for Data Science and Machine Learning Bootcamp
•Agentic AI — Balaji Chippada
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