Sneha Kammalakannon

About Sneha Kammalakannon

Meticulous and ownership-driven engineer with 5+ years of experience designing, scaling, and productionizing distributed systems end to end — from early architecture and design reviews to global deployment, operational hardening, and long-term reliability. I specialize in building high-throughput, fault-tolerant data platforms with strong observability, automated CI/CD, and zero-downtime resilience, translating complex system challenges into secure, scalable, and business-critical solutions.Currently focused on strengthening large-scale account security and fraud prevention initiatives at Intuit, I architect distributed data pipelines that unify high-volume authentication, device, and financial telemetry into production-grade analytics datasets powering AI-driven risk detection and near-real-time anomaly signaling. Core Tech Stack: System Design/Architecture, Python, Java, AWS, AI/ML, Distributed Systems, Big Data (Spark, Flink, Kafka), Kubernetes, CI/CD

Experience

1. Senior Software Engineer

   Intuit

   Jan 2024 — Present · San Diego, CA, US

   Advancing Intuit’s ATO Defense and Secure Data Platform Initiatives> Architected a distributed PySpark pipeline on Amazon EMR to unify high-volume security telemetry into production-grade, Hive-compatible datasets, which were used to train AI-driven risk models and power a near–real-time detection system for identifying potentially fraudulent users and transactions directly contributing to initiatives resulting in $10M+ in fraud cost savings> Engineered encryption-aware ETL workflows using probabilistic keying and batch encryption, ensuring end-to-end protection of sensitive PII while maintaining analytical utility for downstream machine learning and real-time fraud detection> Spearheaded the pilot migration of large-scale data pipelines from Spark on Kubernetes to Amazon EMR, partnering closely with platform engineering to surface and remediate key infrastructure and operational gaps. Formalized the learnings into a standardized migration playbook, establishing a scalable “paved path” that enabled seamless onboarding of multiple enterprise-grade applications across the organization> Developed a PySpark-based batch pipeline to continuously scan and assess Intuit’s internal API landscape, validating whether APIs are securely positioned behind the API Gateway or protected through equivalent security controls such as WAF tagging or service-level authentication; leveraging metadata from Intuit’s Service Registry to flag non-compliant APIs. This initiative identified ~30% of endpoints as lacking required protection, directly contributing to enterprise-wide objectives under to strengthen API perimeter security and compliance coverage.> Partnered with core engineering teams to drive enhancements on a high-volume API mirroring pipeline. Successfully delivered complex data enrichment features required for cross-product data consumption

Education

• Anna University Chennai

  Bachelor's degree, Electrical, Electronics and Communications Engineering

  2013 — 2017

• University of Utah

  Master's degree, Electrical, Electronics and Communications Engineering

  2017 — 2019

Skills

• Customer Service
• Embedded C
• C
• Public Speaking
• Powerpoint
• Microsoft Excel
• Linux Desktop
• Microsoft Office
• Microsoft Word
• Iot
• Project Management
• Api Development
• Python
• Teamwork
• Team Management
• Research
• Wireless Technologies
• Leadership
• Telecommunications
• Management
• C++