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Maitri Dodiya

Mid-level Software Engineer specializing in scalable real-time data systems

FanaticsArizona State UniversityUSA4 Years ExperienceMid LevelWorks On-Site

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About

Backend/platform engineer from Fanatics sportsbook core team with deep experience in real-time ingestion systems (Kafka) and high-throughput performance optimization. Delivered an 87% latency reduction on a Java API handling hundreds of thousands of updates per second, and improved reliability of shared internal libraries via deterministic recovery logic, strong testing, and feature-flagged rollouts.

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Key Strengths

  • Refactored shared Kafka utility library with deterministic replay/recovery while preserving backward compatibility
  • Test-first approach (unit + integration) to enable safe refactors and migrations
  • Incremental rollout strategy using feature flags and high-load staging validation
  • Performance tuning driven by profiling/production metrics and validated with benchmarks/regression tests
  • Reduced end-to-end latency by 87% on a real-time Java API by optimizing DB access, caching, and serialization
  • Strong incident/issue triage with clear stakeholder communication and prevention via monitoring and tests
  • Effective prioritization in high-ambiguity environments based on user impact, revenue risk, and system stability

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Experience

Software EngineerFanatics · Nov 2023 – Oct 2025
Software DeveloperPro EPICS ASU · Feb 2023 – Dec 2023
Java DeveloperInfosys · Sep 2020 – Jul 2021
Software EngineerTribit Infotech · Jan 2020 – Jun 2020

Education

Arizona State Universitymaster, Computer Science (2022)
Sardar Vallabhbhai National Institute of Technology, Suratbachelor, Electrical Engineering (2021)

Languages

English

Publications

2 publications

Deep LearningArtificial Intelligence in Energy SystemsSolar Energy SystemsGeothermal Energy SystemsPower Grid Integration

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Maitri DodiyaMid-level Software Engineer specializing in scalable real-time data systems