Jack Deng
Full-Stack Engineer · Backend & Data
dj3013158@gmail.com · github.com/ArthurDJ · linkedin.com/in/jie-deng-linkdin · leetcode.com/u/dj3013158 · www.jackdeng.cc
Hi, I'm Jack — a Software Engineer based in California, focused on designing reliable enterprise data systems and full-stack applications. I bridge business operations and technical infrastructure through robust backend architectures and scalable data pipelines.
This site is my public workspace: engineering notes, integration patterns, and tools I build along the way. It runs on Next.js + Payload CMS with a Supabase PostgreSQL backend.
Outside of work I'm probably debugging a flow, reading systems-design docs, or figuring out why the ETL ran 3 seconds slower than yesterday.
Skills & Stack
Backend
Data
Web
Integration
Tooling
Experience
01/2024 – present
Software Engineer (Backend & Data) @ Value Windows & Doors
- Helped design and partly built a cloud data platform on Databricks + dbt with a medallion (Bronze→Silver→Gold→Mart) architecture, turning raw ERP data into analytics-ready models for manufacturing, inventory, sales, and workforce reporting.
- Engineered C# and Python data-migration and integration pipelines that improved ERP reliability and processed tens of thousands of records daily across departments.
- Delivered Power BI executive dashboards and React internal portals, giving teams self-serve access to real-time operational metrics.
DatabricksdbtPythonC#ReactPower BI07/2022 – 01/2024
Software Engineer Intern @ APEXUS-TECH
- Built a data-visualization tool that streamlined quantitative strategy analysis for the operations desk, improving decision-making speed.
- Developed Python + MySQL backend services that automatically ingested and persisted financial-market data, keeping analyses up to date.
- Designed ETL pipelines that lifted batch-processing efficiency by 40% and shipped internal monitoring dashboards with the product team.
PythonMySQLETLJavaScriptHTML/CSS03/2023 – 07/2023
Data Warehousing & SQL Tutor @ Northeastern University
- Tutored the graduate data warehousing and SQL course (ALY6030), coaching students on SQL performance tuning, indexing strategies, and execution-plan analysis.
SQLData Warehousing
Education
07/2026 – present
M.S. Engineering Management (in progress) @ Trine University
03/2022 – 07/2023
M.S. Analytics · GPA 3.93/4.0 @ Northeastern University
10/2020 – 02/2022
M.S. AI & Adaptive Systems @ University of Sussex (UK)
09/2016 – 06/2020
B.E. Computer Science @ Ningbo Tech University (China)
Find me online
Interested in working together or have an integration challenge?
Get in touchOr read what I've been writing lately →.