Sangeetha Manoharan
About Sangeetha Manoharan
Sangeetha Manoharan is a Software Engineer at Fannie Mae in Reston, Virginia, with extensive experience in Python development and cloud integration.
Title and Current Position
Sangeetha Manoharan currently works as a Software Engineer at Fannie Mae in Reston, Virginia, United States. Her role includes developing Python-based APIs, leveraging AWS technologies, and automating workflows to enhance the company's software solutions.
Work Experience
Sangeetha Manoharan has a robust background in software development, particularly with Python. She has held positions at several organizations, including Bank of Travelers (2020-2022) and Baylor Health Care System (2019-2020) as a Python Developer. She also worked at Farm Bureau Insurance (2017-2019) and Unisys India (2013-2015) in similar capacities, continually advancing her skills and expertise in the field.
Education and Background
Sangeetha explored higher education at Sathyabama University, where she achieved a Bachelor of Engineering (BE) in Computer Science. This academic foundation set the stage for her future career in software development and engineering.
Technical Skills and Expertise
Throughout her career, Sangeetha Manoharan has demonstrated proficiency in numerous technical areas. She has developed APIs using FastAPI, managed data integration using AWS AppFlow, and automated workflows with AWS Lambda. Her experience includes data analysis using Pandas, Matplotlib, and Numpy, as well as data visualization with Tableau. She is also adept in using Postman for testing REST API requests and responses.
Projects and Initiatives
Sangeetha has been involved in several critical projects at Fannie Mae. She automated data transfer processes using Python scripts and the Boto3 library, and developed AWS Lambda functions to handle data workflows. She also worked on deploying an SQS queue to manage Dead Letter Queues (DLQ) and redirect failed events to Kinesis streams, showcasing her ability to integrate and optimize cloud services for better efficiency.