Python Developer

Bhavana Reddy Maram

Python Developer

660-***-**** Morrisville NC

SUMMARY

Python Developer with 5 years of experience building scalable backend systems, RESTful APIs, and data-driven applications across financial services and cloud domains. Proficient in Python, Flask, Django, and ETL pipeline development for multi-terabyte datasets. Experienced in AWS, Docker, Kubernetes, and CI/CD for cloud-native deployments. Strong background in database optimization and performance tuning, achieving 30% latency reduction, 30% faster deployments, and 40% improvement in reporting efficiency. Certified AWS Practitioner with a proven ability to deliver secure, high-performance solutions in Agile environments.

SKILLS

Programming&Frameworks: Python (Advanced OOP, Functional Programming, Error Handling, Decorators, Generators), Django, Flask, FastAPI, SQLAlchemy

Web & API Development: RESTful API design & integration, GraphQL, Authentication & Authorization (JWT, OAuth2), API testing (Postman, PyTest)

Databases: SQL (PostgreSQL, MySQL, SQLite), NoSQL (MongoDB, Redis, DynamoDB), Database Optimization & Query Tuning, ORM frameworks

Cloud & Deployment: AWS (EC2, Lambda, RDS, S3), Azure, GCP, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, GitLab CI)

Testing & Quality Assurance: PyTest, UnitTest, Test-Driven Development (TDD), Pylint, Black, MyPy

Data Handling & Processing: Pandas, NumPy, JSON/XML/CSV parsing, Message Queues (RabbitMQ, Kafka), ETL pipelines

Additional Skills: Asynchronous Programming (asyncio, aiohttp), Security (HTTPS, Encryption, OWASP), Git/GitHub, Agile/Scrum

EDUCATION

Masters in Computer Science from University of Central Missouri, Warrens burg, MO

EXPERIENCE

Morgan Stanley, USA Python Developer Jan 2024 - Current

Developed and deployed FastAPI-based REST APIs for high-volume data services, integrating with Kafka, ZooKeeper, and Elasticsearch to enable real-time data ingestion and search.

Applied Test-Driven Development (TDD) practices using PyTest, achieving 85%+ test coverage and improving code reliability, maintainability, and CI/CD integration.

Implemented centralized logging and monitoring with Python loggers, MongoDB, and AWS CloudWatch, reducing mean time to resolution (MTTR) by 40% during production incidents.

Optimized API performance with Redis caching, async I/O, and bulk query handling in Python, reducing response latency by 30% and improving throughput.

Automated data processing workflows using Python and Airflow, ensuring reliable scheduling, monitoring, and error handling across distributed data pipelines.

Collaborated with QA and DevOps teams to integrate Selenium-based automated validations and CI/CD pipelines for Python services, enabling 3 faster release cycles with near-zero downtime.

Standard Chartered Bank, India Python Developer March 2019 - Dec 2022

Designed and developed FastAPI based microservices to support workflow validation and orchestration, enabling scalable and high- performance backend systems.

Implemented BPMN workflow validation logic in Python using backtracking and dynamic programming, ensuring 100% process validation before release to production.

Built a Process Quality Index (readability, scalability, performance, security) evaluation framework in Python with custom expression parsing and stack-based computation.

Optimized backend services by leveraging multi-threading, asynchronous I/O, and caching mechanisms, reducing execution latency by 30% and improving throughput.

Developed a linked-list-based ordering engine for workflow forms in Python, resolving 100% of reordering defects and improving workflow reliability.

Integrated backend systems with CI/CD pipelines, unit testing (PyTest), and logging/monitoring frameworks, resulting in 2 faster developer efficiency and higher release confidence.

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