Hammad Faiz
Software Engineer | Backend & Cloud Infrastructure (AWS, Kafka, Spring Boot) | Java
- Role
- Software Engineer Ii at JPMorganChase
- Location
- Columbus, OH, US
- LinkedIn followers
- 500 followers
About Hammad Faiz
Backend engineer building scalable data systems at JP Morgan Chase and shipping products independently.At JPMC, I build event-driven data systems processing millions of messages with Kafka, AWS, and Spring Boot. Recently led an AWS migration that scaled a marketing notification platform from 300 to 1,100 TPS. My work spans Snowflake data extraction and processing, data lake ETL with AWS Glue, real-time event processing with SQS/SNS/Lambda, scheduled orchestration with EventBridge, and cloud cost optimization.Outside of work, I\'m a builder. Currently developing WorkoutSocial, an iOS fitness accountability app using AI-powered content moderation. Built the entire stack solo: SwiftUI frontend, Spring Boot backend, PostgreSQL database, AWS infrastructure (S3). Preparing for App Store launch Q1 2026.What drives me: Turning complex distributed systems problems into elegant solutions, and shipping products that real people use.Tech I work with daily: Java, Spring Boot, AWS (ECS, S3, Glue, SQS, SNS, EventBridge, CloudWatch), Kafka, PostgreSQL, Kubernetes, Docker, CI/CD (Jenkins, Spinnaker)Open to connecting with engineers, founders, and companies that value builders who ship.
Experience
Software Engineer Ii
Jan 2025 — Present · Columbus, OH, US
Architected Kafka-based real-time data pipeline processing 60-100K+ messages daily, achieving sub-1-minute latency through pre-consumption filtering that eliminated unnecessary message processing- Migrated marketing notification application to AWS, increasing throughput from 300 to 1,100 TPS while maintaining 99.9% uptime for external vendor integrations- Optimized paid media allocation data pipelines delivering insights on millions of dollars in marketing budget to AI analytics teams via Snowflake integration- Implemented AWS cost optimization via automated resource scheduling (Lightswitch), achieving hundreds of dollars in monthly savings across lower environments- Built event-driven architectures using EventBridge Schedules to orchestrate complex Snowflake ETL jobs with parameterized SQL queries based on daily/weekly/monthly cadences- Designed SNS → SQS → Lambda event processing pipeline with message filtering for data lake partition updates, enabling real-time Glue job triggering
Education
City Tech, CUNY
Computer Science
2020 — 2021
Flatiron School
Computer Software Engineering Course
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