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I am a software engineer and current MS Computer Science student at Saint Leo University in Tampa, with hands-on experience in data engineering, real-time streaming, and cloud-based microservices. I thrive on turning complex data into reliable, scalable solutions and enjoy building tools that empower analytics teams and business users alike. In my recent role at JPMorgan Chase, I delivered end-to-end data pipelines and fraud-detection streams, reduced reporting lag, and improved deployment reliability. I am excited to apply my machine learning, data engineering, and cloud skills to create impactful software products.…I am a software engineer and current MS Computer Science student at Saint Leo University in Tampa, with hands-on experience in data engineering, real-time streaming, and cloud-based microservices. I thrive on turning complex data into reliable, scalable solutions and enjoy building tools that empower analytics teams and business users alike. In my recent role at JPMorgan Chase, I delivered end-to-end data pipelines and fraud-detection streams, reduced reporting lag, and improved deployment reliability. I am excited to apply my machine learning, data engineering, and cloud skills to create impactful software products.

Sneha Reddy Gummalla

Full Stack Developer, Back-End Developer, Web Developer, +2

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I am a software engineer and current MS Computer Science student at Saint Leo University in Tampa, with hands-on experience in data engineering, real-time streaming, and cloud-based microservices. I thrive on turning complex data into reliable, scalable solutions and enjoy building tools that empower analytics teams and business users alike. In my recent role at JPMorgan Chase, I delivered end-to-end data pipelines and fraud-detection streams, reduced reporting lag, and improved deployment reliability. I am excited to apply my machine learning, data engineering, and cloud skills to create impactful software products.…I am a software engineer and current MS Computer Science student at Saint Leo University in Tampa, with hands-on experience in data engineering, real-time streaming, and cloud-based microservices. I thrive on turning complex data into reliable, scalable solutions and enjoy building tools that empower analytics teams and business users alike. In my recent role at JPMorgan Chase, I delivered end-to-end data pipelines and fraud-detection streams, reduced reporting lag, and improved deployment reliability. I am excited to apply my machine learning, data engineering, and cloud skills to create impactful software products.

Available to hire

I am a software engineer and current MS Computer Science student at Saint Leo University in Tampa, with hands-on experience in data engineering, real-time streaming, and cloud-based microservices. I thrive on turning complex data into reliable, scalable solutions and enjoy building tools that empower analytics teams and business users alike.

In my recent role at JPMorgan Chase, I delivered end-to-end data pipelines and fraud-detection streams, reduced reporting lag, and improved deployment reliability. I am excited to apply my machine learning, data engineering, and cloud skills to create impactful software products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Developer at JPMorgan Chase & Co

December 1, 2022 - July 1, 2024

Engineered a PySpark + Apache Airflow ETL pipeline that reduced batch processing time by ~40% while handling 50M+ daily financial transactions with zero data-loss SLA. Built a real-time fraud-detection stream using Kafka + Spark Streaming that flagged anomalous transactions in under 200 ms, reducing manual review workload by 30%. Designed and deployed 12 RESTful microservice APIs (Spring Boot) integrated with downstream analytics dashboards. Implemented automated data-quality validation framework (Python) across 6 critical data sources; caught 3,000+ schema violations/month before production. Reduced CI/CD pipeline failure rate by 25% by refactoring build scripts and introducing automated smoke tests across 8 microservices. Provisioned cloud-based distributed infrastructure (AWS, GCP) supporting 99.9% uptime for 10,000+ internal users.