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Hi, I’m Emma Snow, a software and data engineer based in the San Francisco Bay Area. I design and ship reliable, scalable systems using Java, Python, and React, with a strong focus on end-to-end data pipelines, ETL processes, and cloud deployments. I’ve driven reliability and latency improvements across backend services, data platforms, and AI-powered reporting tools, balancing performance with maintainability. I’m passionate about turning complex analytics into actionable insights and collaborating with product and design teams to improve user outcomes. I hold an MS in Computer Software Engineering from Northeastern University and enjoy exploring AI integration and data quality within scalable architectures that respect compute limits. When I’m not coding, I like refining data visualizations and mentoring peers on best practices in software and data engineering.…Hi, I’m Emma Snow, a software and data engineer based in the San Francisco Bay Area. I design and ship reliable, scalable systems using Java, Python, and React, with a strong focus on end-to-end data pipelines, ETL processes, and cloud deployments. I’ve driven reliability and latency improvements across backend services, data platforms, and AI-powered reporting tools, balancing performance with maintainability. I’m passionate about turning complex analytics into actionable insights and collaborating with product and design teams to improve user outcomes. I hold an MS in Computer Software Engineering from Northeastern University and enjoy exploring AI integration and data quality within scalable architectures that respect compute limits. When I’m not coding, I like refining data visualizations and mentoring peers on best practices in software and data engineering.

Emma Snow

Full Stack Developer, Web Developer, Data Scientist

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Hi, I’m Emma Snow, a software and data engineer based in the San Francisco Bay Area. I design and ship reliable, scalable systems using Java, Python, and React, with a strong focus on end-to-end data pipelines, ETL processes, and cloud deployments. I’ve driven reliability and latency improvements across backend services, data platforms, and AI-powered reporting tools, balancing performance with maintainability. I’m passionate about turning complex analytics into actionable insights and collaborating with product and design teams to improve user outcomes. I hold an MS in Computer Software Engineering from Northeastern University and enjoy exploring AI integration and data quality within scalable architectures that respect compute limits. When I’m not coding, I like refining data visualizations and mentoring peers on best practices in software and data engineering.…Hi, I’m Emma Snow, a software and data engineer based in the San Francisco Bay Area. I design and ship reliable, scalable systems using Java, Python, and React, with a strong focus on end-to-end data pipelines, ETL processes, and cloud deployments. I’ve driven reliability and latency improvements across backend services, data platforms, and AI-powered reporting tools, balancing performance with maintainability. I’m passionate about turning complex analytics into actionable insights and collaborating with product and design teams to improve user outcomes. I hold an MS in Computer Software Engineering from Northeastern University and enjoy exploring AI integration and data quality within scalable architectures that respect compute limits. When I’m not coding, I like refining data visualizations and mentoring peers on best practices in software and data engineering.

Available to hire

Hi, I’m Emma Snow, a software and data engineer based in the San Francisco Bay Area. I design and ship reliable, scalable systems using Java, Python, and React, with a strong focus on end-to-end data pipelines, ETL processes, and cloud deployments. I’ve driven reliability and latency improvements across backend services, data platforms, and AI-powered reporting tools, balancing performance with maintainability.

I’m passionate about turning complex analytics into actionable insights and collaborating with product and design teams to improve user outcomes. I hold an MS in Computer Software Engineering from Northeastern University and enjoy exploring AI integration and data quality within scalable architectures that respect compute limits. When I’m not coding, I like refining data visualizations and mentoring peers on best practices in software and data engineering.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer at WorkMagic | Attribution Group

December 1, 2025 - Present

Migrated Creative Insights orchestration from Dify to n8n, added MySQL lease and retry state, and implemented Gemini file garbage collection to prevent quota failures. Improved reliability and latency: success rate from about 85% to over 98%, 2P95 latency from over 60 minutes to under 30 minutes, and 429 errors to zero via queueing, batching and watchdogs. Built and owned AI Q&A plus automated reporting end-to-end with React and Java Spring, enhancing workflow control with stronger tools, parameters, and fallbacks under compute limits.

Software Engineer at FlowGPT

June 1, 2025 - November 1, 2025

Architected and maintained FlowGPT A/B Testing Analytics Platform: scheduled Airflow ETL jobs to build incremental tables and dynamically join KPIs and experiment data. Delivered real-time metric calculation via Python Flask APIs with results cached for response. Implemented offline Bayesian analysis for 20+ metrics and developed a React dashboard enabling self-service visualization, integrating GrowthBook and backend APIs. Managed deployment on GCP with Docker, including code versioning and CI/CD from GitHub.

Data Engineer Intern at FlowGPT

December 1, 2024 - May 1, 2025

Developed self-serve dashboards and automated weekly business reviews in Metabase, enabling stakeholder visibility across Chat & Recommendations product lines and reducing analysis time. Translated consumer feedback into product hypotheses and prioritized high-impact opportunities. Built Bayesian uplift models and logistic/linear frameworks to estimate causal impact under imperfect experiments; improved readout confidence from 62% to 87%. Produced executive briefs influencing pricing & packaging decisions, resulting in ARPU and signpost-to-activation gains.

Data Engineer Intern at Baidu

June 1, 2024 - September 30, 2024

Delivered data-driven product capabilities across content, ads, and growth funnels by translating PRDs/user stories into scalable implementations and production rollouts. Implemented funnel/cohort analytics and experimentation-ready metrics to inform roadmap and improve activation and 7-day retention. Built and optimized data pipelines and BI assets (SQL/Spark + Tableau) for WAU/DAU/MAU, CTR, RPM, and conversion; upgraded reporting from D+1 batch to same-day dashboards for stakeholders.