Bradley Morabito

Summary

Results-oriented Software and Data Engineer with 3+ years of experience building distributed systems, real-time data pipelines, and cloud-native architectures.

Experience in Go, Javascript/Typescript, Python, Java, and Apache Flink, with expertise in AWS serverless services and modern API design using GraphQL.

Demonstrated success delivering scalable and maintainable solutions, including data platforms and portfolio management tools, with a focus on system reliability supported by automated testing and observability.

Skills

Languages: TypeScript, Go, Java, Python, SQL

Technologies: AWS Cloud Services, Distributed Systems, Stream Processing, Microservices Architecture, Analytics Data Platforms

Tools: Apache Flink, AWS Lambda, S3, EC2, SNS/SQS, Kinesis, RDS (AWS Aurora), DynamoDB, Redshift, Athena, GraphQL, REST, Git, Figma

Experience

Vanguard – Application Engineer | 07/2022 – Present

• Delivered equity portfolio management tools by designing, building, testing, and supporting serverless microservices in a distributed architecture on AWS, enabling migration from on-premises data service and improving deployment frequency by 87.5%.
• Developed a modern equity data platform API in Go with GraphQL and ORM frameworks, and built a real-time stream processing application in Apache Flink, cutting portfolio workflow latency from minutes to seconds and improving message ingestion cost efficiency by 22x.
• Developed observability solutions using Grafana and OpenSearch, proactively identifying and resolving production data discrepancies to support trade desk operations and reduce incident resolution time for benchmarking service by over 80%.

Projects

Equity Data Platform

• Modernized real‐time data platform with GraphQL API and egress to analytics supporting equity portfolio management.
• Tech: Kinesis, Flink, ECS, PostgreSQL, S3, Glue, Lambda, EventBridge, Redis.
• Result: Consolidated 60+ interdependent APIs into a single endpoint, reducing latency from minutes to seconds, enabling real‐time processing, and supporting zero‐downtime releases.

Portfolio Management Tool

• Developed serverless microservices to support key equity portfolio management features and migrate from on-premises operations to AWS.
• Tech: Lambda, SQS/SNS, DynamoDB, S3, Aurora RDS, AppSync.
• Result: Reduced operational costs and ensured high availability for critical portfolio management workflows.

Education & Certifications

Pennsylvania State University

• Master of International Affairs, 2018
• B.A. History, German, International Politics, 2018

Certifications: AWS Certified Data Engineer – Associate (2025), CFI Capital Markets & Securities Analyst (2023), AWS Certified Cloud Practitioner (2022)