# Jyotika Patil

> Software Engineer at Salesforce

Location: San Francisco, California, United States
Profile: https://flows.cv/jyotika

I am a graduate student majoring in Computer Science at San Jose State University. I am passionate about using technology to develop solutions for diverse sectors. I have experience in programming & developing scalable data management and AWS cloud-native applications. I possess sound knowledge of Cloud, Java, Python, and Machine Learning. I am strong in Algorithms, OOPs, and Operating Systems.

## Work Experience
### Software Engineer MTS @ Salesforce
Jan 2024 – Present | San Francisco, California, United States

### CS Instructor @ San José State University
Jan 2024 – Jan 2024 | San Jose, California, United States
Designed curriculum and taught course CS131- Processing Big Data: Tools & Techniques

### Instructional Student Assistant @ San José State University
Jan 2023 – Jan 2023 | San Jose, California, United States
Tutor for courses:
CS131: Processing Big Data
CS146: Data Structures & Algorithms
CS151: Object Oriented Design

### Software Engineer Intern @ Identifeye Health
Jan 2023 – Jan 2023 | Redwood City, California, United States

### Senior Developer (BA4) @ Barclays
Jan 2022 – Jan 2022 | Pune, Maharashtra, India
• Implemented access control by integrating IAM roles with Active Directory and Lake Formation to query S3 buckets via Redshift spectrum.
• Devised Workload Management (WLM) queues and appropriate indexes for resource optimization to lower query execution time.

### Graduate Analyst @ Barclays
Jan 2020 – Jan 2022 | Pune, Maharashtra, India
• Developed an event-based ETL pipeline leveraging AWS cloud-native services to engineer trade data fetched from distributed warehouses and store it in relational database.
• Designed a scalable service with APIs hosted on EC2 to securely transfer files to and from on-premise servers to S3.
• Implemented a streamlined process to generate notifications for application failures using DynamoDB streams and Lambda to reduce root-cause analysis time.
• Deployed application Infrastructure as Code (IaC) on AWS Cloud via automated CI/CD Jenkins pipeline.

### Software Engineer Intern @ TomTom
Jan 2019 – Jan 2019 | Pune Area, India
• Developed flow for creating the base layer of Tomtom maps used by Apple, Microsoft, and Uber by adding multiple verified components, locations, and Points of Interest to refine the map quality.
• Analyzed terabytes of probe data using parallel processing, and implemented ML techniques to predict high-priority areas to prioritize map editing and business decisions.


## Education
### Master's degree in Computer Science
San José State University

### Bachelor of Technology(B.Tech) in Computer Engineering
Vishwakarma Institute Of Technology

### 12th in Science
Shubham Raje Junior College, Thane(W)

### 10th
D.A.V. Public School, Thane(W)


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

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