# Raghava Srinivasan

> Data engineer

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

Data Engineer with 6+ years of experience architecting and optimizing scalable data infrastructure, distributed systems, and algorithmic optimizations. Expertise in designing scalable ETL workflows, stream processing (Flink, Kafka), and cost-efficient cloud-native solutions (AWS, Kubernetes).
	•	Built data pipelines processing 600K+ events/sec and 25TB/day, ensuring 99.99% availability
	•	Reduced operational costs by 50% through optimized lookup solutions and Union-Find-based deduplication
	•	Deployed three MVPs in six months, enabling rapid product-market fit iterations

## Work Experience
### Software Engineer, Data @ MileIQ
Jan 2024 – Present | San Francisco, California, United States
- Developing an A/B/n testing framework integrated with LLM (Code Llama), vectorDB, and graph DB to map RDBMS relationships, enabling intelligent Snowflake queries for enhanced data-driven decision-making.
- Deployed a scalable real-time data pipeline for drive classification, leveraging advanced spatial-temporal feature engineering to enhance ML model accuracy by 10%.

### Lead data engineer @ Lentra
Jan 2022 – Jan 2024
- Led a 30-member engineering team in developing a real-time profiling system for BFSI, processing 600K events/sec and 25TB/day, ensuring 99.99% availability.
 - Implemented a Union-Find-based graph deduplication system, clustering similar data entities in O(α(n)) time complexity, achieving 50ms lookup speeds and reducing storage/operational costs by 50%.
 - Designed and deployed facial recognition and fuzzy matching pipelines, increasing identity verification accuracy by 15%.
 - Pivoted from AWS to Kubernetes in 3 months, cutting setup time and standardizing deployments across financial institutions to meet evolving business needs.
 - Collaborated with PMs to prioritize and deliver features that drove a 20% increase in MAU growth.

### Senior Data Engineer @ Presidio
Jan 2021 – Jan 2022 | Chennai, Tamil Nadu, India
- Built and optimized ETL pipelines handling 3GB/day of data, improving processing efficiency by 30% using AWS Glue, Kinesis, and Step Functions.
 - Implemented incremental data ingestion pipelines, reducing compute costs by 30% via delta calculation techniques.

### Data Engineer @ Presidio
Jan 2020 – Jan 2021
- Developed Kimball-modeled data warehouses in Snowflake, improving analytical query performance by 5%.
 - Automated cloud infrastructure provisioning with CloudFormation, accelerating deployment cycles by 1.5x.

### Software Engineer @ Presidio
Jan 2019 – Jan 2020
Full-stack development and Linux shell scripting
- Worked on full-stack development for a marketplace application using Angular 8 and NodeJS.
- Worked on full-stack development for an accelerator product using Angular 8 and Python.
- Worked on Linux shell scripting to check best-practice implementations in AWS.

### Associate - Projects @ Cognizant
Jan 2018 – Jan 2019
- Built a Python-based data pipeline for clustering and fuzzy matching, improving text deduplication accuracy.
 - Integrated sentiment analysis, enhancing the depth and precision of data insights.
 - Developed an NLP-powered name generation script, streamlining data analysis efficiency.

### Intern @ Cognizant
Jan 2018 – Jan 2018
- Built a supervised KNN multi-label classifier in Python for .xlsx data
 - Leveraged WEKA for data mining, feature extraction, and dataset cleaning.
 - Developed a J48 decision tree, enabling efficient large-scale data classification.
 - Designed a path-finding algorithm, reducing computation time by 50% and boosting efficiency by 30%.


## Education
### Master of Science - MS in Data Science
University of San Francisco

### Bachelor of Engineering (B.E.) in electronics and communication engineering
Velammal Institute Of Technology

### High School in Computer Science
The Velammal International School

### Jawahar Vidhyalaya Senior Secondary School


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

---
Source: https://flows.cv/raghava
JSON Resume: https://flows.cv/raghava/resume.json
Last updated: 2026-04-05