# Nayana Chandran

> SDE Cloud Data Platform @ Guidewire

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/nayana

My Master’s Degree in Computer Science made me fall in love with data.  I have a passion for building scalable and efficient data pipelines that can handle terabytes of data. I have applied my knowledge of distributed systems, Spark, and AWS to various projects in the healthcare and finance sectors, delivering solutions that improve data quality, performance, and insights. 

At Novartis, I was part of the Medical Startup team at Real World Evidence, where I built a new pipeline that checks patient adherence to a drug treatment for a particular disease. I worked mostly on Databricks platform on AWS, writing PySpark code to transform and analyze medical data from databases external to the organization 
Previously, at Upwave, I created and deployed services that ingest and refine millions of rows of data from various sources, using Presto and Athena. I also implemented authentication and authorization using Spring security and JWT.
Before that, at Deutsche Bank, I built React applications in TypeScript to visualize data relationships, and middle-tier services in Python to transform data on HDFS. I was also the sole owner for 5 different legacy solutions that were modified to run in the most cost effective way. 
I received a recognition award for my outstanding contribution to the Bank’s future.

I am a people-person and a lifelong learner, who enjoys solving puzzles and exploring new technologies. I thrive in innovative, fast-paced environments, where I can collaborate with others and contribute to impactful outcomes. I am eager to learn and grow, and to apply my skills and expertise to new challenges and domains.

## Work Experience
### Software Engineer 3 @ Guidewire Software
Jan 2024 – Present | San Mateo, California, United States

### Senior Associate @ Novartis
Jan 2022 – Jan 2023 | San Francisco Bay Area (Remote)
I am responsible for building a new pipeline that checks patient adherence to a drug treatment for a particular disease. I work mostly on Databricks platform on AWS, writing PySpark code to refine terabytes of data

### Software Engineer @ Upwave
Jan 2021 – Jan 2022
I create and deploy services that ingest and refine millions of rows of data that is stored on AWS.

### Associate @ Deutsche Bank
Jan 2019 – Jan 2021 | Cary, North Carolina, United States
I built React applications in Typescript to help illustrate relationships in the data.
while simultaneously creating middle tier services in Python that transform data stored on HDFS.

I have translated complex business requirements into executable code to determine inconsistencies in the input dataset. 
Also reworked SQL queries into Spark queries to to help improve the efficiency of data processing.
Used Scala to ingest data from multiple sources.

### Analyst @ Deutsche Bank
Jan 2016 – Jan 2019 | Cary, North Carolina, United States
Served as primary escalation point for all Java related issues.
Spearheaded migration of Java applications to different web servers
Maintained coding standards using Veracode and Sonar


## Education
### Master’s Degree in Computer Science
Clemson University

### Bachelor's degree in Information Science/Studies
Dayananda Sagar College of Engineering, BANGALORE


## Contact & Social
- LinkedIn: https://linkedin.com/in/nayana-chandran9

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Source: https://flows.cv/nayana
JSON Resume: https://flows.cv/nayana/resume.json
Last updated: 2026-03-29