# Atharva Rane

> Backend Software Engineer | Distributed Systems & Cloud Platforms | Ex @ Amazon Web Services (AWS)

Location: Greater Boston, United States
Profile: https://flows.cv/atharvarane

Platform-focused backend software engineer with 5+ years of experience building and operating cloud-native, distributed systems at scale, most recently at Amazon Web Services (AWS). Proven track record of owning production services end-to-end, leading multi-region infrastructure automation, and improving reliability, latency, and operational efficiency for large internal platforms.

Strong background in distributed systems, cloud infrastructure, and automation, with hands-on expertise in Python, SQL, and scalable backend and data pipelines. Known for driving cross-functional alignment across engineering, security, and product teams, translating complex technical constraints into clear execution plans, and delivering systems that are observable, resilient, and easy to operate in production.

## Work Experience
### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2022 – Jan 2025 | Boston, Massachusetts, United States
• Own and maintain a petabyte-scale internal data lake powering data science use cases across the company; led architecture, ingestion, and operational improvements as the sole engineer on the team.
• Migrated ETL logic from 50+ AWS accounts into a centralized pipeline, reducing latency by 40% and cutting support overhead by 60%.
• Automated AWS region onboarding using Lambda, CDK, and CloudFormation, enabling real-time ingestion from newly launched regions.
• Reduced ingestion infrastructure by consolidating scripts and pipelines into unified, Dockerized packages with multi-entry points.
• Led weekly operations reviews, presented infrastructure gaps to leadership, and drove sprint planning to close action items and reduce ticket load.
• Authored operational runbooks that cut investigation times from hours to minutes and improved operator self-service during incidents.
• Built secure, large-scale ingestion tools using AWS STS, Secrets Manager, KMS, and DynamoDB for both production and customer-facing use cases.
• Mentored teammates, improved system reliability, and handled high-severity on-call issues for a distributed log processing system.

### Graduate Teaching Assistant @ Northeastern University
Jan 2022 – Jan 2022 | Boston, Massachusetts, United States
Teaching assistant for EAI6000- Fundamentals of artificial intelligence.
Teaching assistant for ALY6010- Probability theory and Statistics

### Data Science and AI Innovation Intern @ CatAIlyst Inc.
Jan 2021 – Jan 2022 | Boston, Massachusetts, United States
Designed and implemented an end-to-end pipeline utilizing web scraping tools using both structured and unstructured medical records and clinical trials (EU, FDA, AU-NZ) data to synthesize the world’s biomedical knowledge into a concise database.
Build and monitored two Natural Language Processing (NLP) Models with named entity recognition to extract entities from medical documents using state-of-the-art Python Spacy library with an accuracy of 80% in entity recognition and validated the model performance by creating various data buckets based on the cosine similarity of the word vectors from the model output.
Developed custom scraping functions based on business stakeholder requirements to create custom daily feeds and alerts.

### Sports Data Scientist @ Hudl
Jan 2017 – Jan 2019 | Mumbai Area, India
Presented Dashboards using Tableau to analyze KPI's and make data driven decision
Automation using Python Scripts
Writing SQL queries to automate exportation of files to database
Worked on A/B tests.


## Education
### Master of Professional Studies in Analytics in Artificial Machine Intelligence
Northeastern University

### Master's degree in Data Science
GreyAtom

### Bachelor of Engineering - BE in Electronics and Telecommunication
University of Mumbai


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

---
Source: https://flows.cv/atharvarane
JSON Resume: https://flows.cv/atharvarane/resume.json
Last updated: 2026-03-31