Open to opportunities

Xin Ren

@xinren

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Senior data engineer specializing in real-time pipelines and ML infrastructure.

United States

Message

What I'm looking for

I seek roles focusing on scalable real-time data pipelines and ML infrastructure where I can lead technical delivery, improve production reliability, and collaborate cross-functionally to operationalize models and data platforms.

I am a senior data engineer with 13+ years of experience building real-time and batch data pipelines, ML infrastructure, and large-scale distributed systems. I focus on taking prototypes into production and leading technical initiatives across the full data lifecycle.

At Fanatics Betting & Gaming I built microservices and real-time analytics pipelines, designed modular Market Content Provider services, and improved entity resolution to boost natural language query success rates. I have operational experience with on-call rotations, Datadog, and incident triage.

At Perceive I designed end-to-end ML data pipelines for Edge-AI, created a TinyML feature engineering framework that reduced inference time and model footprint by over 40%, and deployed ML Ops workflows using MLflow and GitOps practices. I bridge embedded device data and cloud model workflows.

Earlier roles at Amazon, Cvent QuickMobile, and research organizations strengthened my skills in event-driven architectures, high-throughput telemetry pipelines, real-time analytics, and data quality tooling. I prioritize reproducibility, performance optimization, and cross-functional collaboration.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Fanatics Betting & Gaming

Jul 2023 - Present (2 years 6 months)

Built and maintained microservices and real-time pipelines to ingest, normalize, and serve sports data, delivering real-time market analytics and improving natural-language query resolution for betting experiences.

Java Python Kafka REST APIs Datadog Entity Resolution Microservices

Staff Software Engineer

Perceive

Nov 2021 - Jul 2023 (1 year 8 months)

Designed and maintained end-to-end ML data pipelines and a TinyML feature engineering framework, reducing inference time and model footprint by over 40% and enabling reproducible edge-AI deployments.

Python PyTorch Onnx AWS Glue S3 EMR MLFlow TinyML

Software Development Engineer

Amazon

Oct 2016 - Nov 2021 (5 years 1 month)

Designed high-throughput data pipelines to process telemetry at scale and led migration of batch ETL to event-driven architectures, improving near-real-time data availability and reducing operational costs.

Kinesis Lambda DynamoDB Python Event Driven Architecture Data Engineering ETL Data Quality

Analytics Engineer

Cvent QuickMobile

Jan 2015 - Oct 2016 (1 year 9 months)

Led development of a real-time analytics system and event recommendation engine for enterprise mobile apps, improving session engagement and delivering actionable insights for clients.

SQL Python Event Tracking Data Visualization