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Deepthi Mundarinti

Mid-level Data Engineer specializing in real-time analytics and regulated domains

JPMorgan ChaseSaint Louis UniversityNC, USA5 Years ExperienceMid LevelWorks Remote

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About

Data platform engineer focused on large-scale, real-time fraud systems, with hands-on ownership of streaming architectures using Kafka, Spark, Snowflake, and Databricks. Stands out for combining performance tuning and platform automation with LLM/RAG-based enrichment, delivering measurable gains in latency, fraud accuracy, false positives, and analyst decision speed.

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Key Strengths

  • Built a near real-time fraud platform from a legacy batch system
  • Reduced query latency by 35% and improved costs by 28% through tuning in Snowflake/Databricks
  • Improved fraud investigation turnaround by 68% while maintaining 99% SLA
  • Integrated LLM/RAG enrichment into streaming architecture with minimal latency impact
  • Improved fraud detection accuracy by 32%
  • Reduced false positives by 30%
  • Built near zero-touch platform automation with Terraform and Python
  • Resolved high-severity distributed data latency issues using Spark UI and query profiling
  • Reduced processing latency by 35% and restored SLA compliance to 99%
  • Strong adaptability in mapping distributed data platform experience to new cloud services

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Experience

Data EngineerJPMorgan Chase · Jan 2025 – Present
Data EngineerMolina Healthcare · Jan 2024 – Dec 2024
Data EngineerWipro · Aug 2021 – Jul 2023
Data AnalystTrigent Software · Aug 2020 – Jul 2021

Education

Saint Louis Universitymaster, Computer Science
SV College of Engineering and Technologybachelor, Computer Science Engineering

Languages

English

Certifications

AWS Data Engineer AssociateHackerRank Certified: SQL (Advanced)Python for Data ScienceUnderstanding the Statistics for Data Science by InternshalaGenerative AI Sprint by Outskill

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Deepthi MundarintiMid-level Data Engineer specializing in real-time analytics and regulated domains