Resume

The long-form version is below. I architect modern data platforms (Dagster, dbt, Polars, DuckDB) and build AI-native products — agentic developer tooling with Claude Code, MCP, and the AI SDK; LLM-in-the-loop pipelines; structured-output systems that replace brittle rules with robust inference. Most recently Product Manager for Stack Maps and the Public Data team at StackDX, after leading the engineering rebuild of its US data platform. For recruiters and ATS: a clean single-column PDF is one click away, and the same content is available as standards-compliant JSON Resume for anything that prefers structured data.

Concise PDF (2 pages)Full PDFCopyable snippets →

Impact snapshot

0
years in data
0
engineer team
0M+
production records
0+
Dagster assets
0k+
products (Twochannel)
$0M
value added

Summary

Data Professional Experience
11 years
Designations
MIDS
Total Career Experience
17 years
Designations
P.Eng
BASc
Name
Matthew Nelson
Education
Alberta
Education
Master of Information and Data Science University of California, Berkeley
Education
Bachelor of Applied Science, Chemical Engineering University of Waterloo
Download this Resume

Experience

Stack Technologies Ltd.1 years, 1 months (and counting)
StackDX is a connected oil & gas data management platform bringing together the critical data and documents of an operation.
Product Manager, Stack Maps & Public DataMay 2026 - Present
Stepped into a Product Manager role spanning the Stack Maps product (frontend + API) and the broader Public Data team — managing and planning the roadmap for a 5-person group across two countries. Driving Stack Maps direction across frontend, API, and data, while the team runs the Canadian data pipelines and continues to mature the US Dagster platform. Built on the engineering foundation of the prior Data Platform Engineer role; now shaping where the product goes next.
Data Platform EngineerJun 2025 - May 2026
Lead engineer on the USA data platform rebuild — replacing a legacy Python ETL stack with a production-grade Dagster-native architecture on AWS, with Polars and DuckDB doing the heavy transformation work. Operating at scale: 250M+ production records (wells & production), ~47GB of parquet across landing/intermediate/marts. Operating as an AI-native developer: custom Claude Code skills, sub-agents and hooks act as force multipliers across scaffolding, data inspection, formatting and review — measurably increasing the rate at which new state pipelines and transformation assets ship.
Twochannel5 years, 6 months (and counting)
Twochannel is an AI-assisted HiFi audio product catalog and intelligent stereo-system designer — built to cut through the marketing hype, verbose reviews, and tribal opinions that make buying audio equipment exhausting.
Founder & Principal EngineerJan 2021 - Present
Designed and built Twochannel end-to-end: product catalog, ingestion pipelines, search, recommendations, and frontend. The catalog — 16k+ products across 2k+ brands — is maintained almost entirely through AI-native workflows: LLM-in-the-loop scrapers, structured-output enrichment, semantic dedup, and a Claude Code toolchain operating against a full monorepo. Evidence that a single engineer with modern AI tooling can cover the data engineering of a small team.
Paramount Resources Limited1 years, 1 months
Paramount Resources Ltd. is a Canadian oil and natural-gas exploration and production company, publicly traded since 1978, focused on Montney and Duvernay development in Alberta and British Columbia.
Senior Data Analytics EngineerApr 2024 - May 2025
Senior member of the Data Analytics and Integration team — integrating best practices across the full data stack, mentoring ICs, and advocating for a modern data platform. Delivered polished, robust solutions spanning custom web apps, modern data-stack PoCs, data engineering pipelines, and high-fidelity dashboards. Toolkit: Databricks, PowerBI, Spotfire, dbt Core, cube.js, DuckDB; SQL, Python, R, DAX.
Canlin Energy Corporation6 years, 6 months
Canlin Energy is a private oil & gas company with a diversified portfolio in the Western Canadian Sedimentary Basin.
Data & Advanced Analytics LeadFeb 2022 - Apr 2024
Designed, built, and ran Canlin's modern data stack (dbt Cloud, Snowflake, DataRobot, Tableau, Streamlit) and led the Integrated Remote Operating Centre (IROC) analytics. Owned descriptive and predictive solutions end-to-end, mentored junior professionals into data roles, and made the business case to senior leadership for sustained investment in analytics.
Corporate Data Scientist & Reserves ManagerOct 2017 - Jan 2022
Drove Canlin's transition to a self-service data model by pairing data engineering with petroleum-data expertise — implementing Tableau as the company-wide reporting tool and data mart, advocating for repeatable BI, advanced analytics, and automation. Owned the regulated annual reserves evaluation — the externally-audited, company-wide valuation of every corporate asset, tied directly to the financial statements — improving accuracy and unlocking +$730M in value through technical revisions.
Centrica Energy Canada3 years, 3 months
Centrica Energy Canada was a Canadian subsidiary of Centrica plc focused on upstream development in the WCSB.
Exploitation / Development Engineer, Foothills & SouthJul 2014 - Sep 2017
Exploitation/development engineering across multiple assets. Authored multi-scenario asset-longevity analysis that set 5–10-year corporate strategic direction.
Pengrowth Energy3 years, 10 months
Production & Exploitation EngineerAug 2010 - Jun 2014
On-site production engineering plus exploitation engineering across multiple assets. Built multi-dimensional tracking models from time-series sensor data and designed data-driven drill programs.
Pengrowth Energy (Co-op)3 years, 11 months
Engineering Co-op Student2006 - 2010
Multiple co-op terms as part of the University of Waterloo Engineering program — 8 months at Lanmark Engineering, 4 months at the Olds Sour Gas Plant, and 12 months in the Pengrowth office as an Exploitation Engineering co-op.

Education

Master of Information and Data Science
University of California, BerkeleyMay 2016 - Jun 2018
  • W200: Introduction to Data Science Programming
  • W201: Research Design and Applications for Data and Analysis
  • W203: Statistics for Data Science
  • W205: Fundamentals of Data Engineering
  • W207: Applied Machine Learning
  • W209: Data Visualization and Communication
  • W210: Synthetic Capstone
  • W241: Experiments and Causality
  • W251: Deep Learning in the Cloud and at the Edge
  • W266: Natural Language Processing with Deep Learning
Bachelor of Applied Science, Chemical Engineering
University of WaterlooSep 2005 - Jun 2010

    Projects

    twochannel.ai

    highlight

    https://twochannel.ai2021 - Current
    StackDX USA Data Platform

    highlight

    https://www.stackdx.com2025 - Current
    Instill
    https://instillmeditation.ca2017 - Current
    Vedic Meditation Directory
    https://learnvedicmeditation.co2017 - 2022

    Summary

    Languages
    English Native speaker
    Certificates
    Professional Engineering Designation (P.Eng) Association of Professional Engineers and Geoscientists of Alberta (APEGA)
    Awards
    Randy Duxbury Memorial Award University of Waterloo 2010
    Awards
    Ontario International Education Opportunity Scholarship University of Waterloo 2007

    Skills

    • Data & Software

    • AI Engineering & Agentic Development Experienced
      3 years
      Claude Code (agents, skills, hooks, slash commands, sub-agents), MCP servers & clients, Anthropic / OpenAI / Perplexity APIs, Vercel AI SDK, Structured outputs & schema-adherent LLM calls, Prompt caching & evals, RAG, Agent frameworks (autogen, crew), LLM-in-the-loop data pipelines, Editors: Claude Code, Cursor, Windsurf
    • Data Engineering & Modern Data Stack Expert
      6 years
      dbt (Core & Cloud), Dagster, Snowflake, Snowpark, Polars, DuckDB, Tableau Prep, cube.js & dbt semantic layers, pandas, SQL, Schema contracts
    • Cloud, Infra & DevOps Experienced
      5 years
      AWS (ECS, RDS, S3), Terraform, Docker, GitHub Actions CI/CD, Vercel, Railway, Supabase, Doppler, pre-commit / ruff / pyright
    • Data Visualization & BI Expert
      10 years
      Tableau, PowerBI, Spotfire, Plotly, D3.js, matplotlib, Seaborn, Dash, Bokeh, ggplot2
    • Machine Learning & NLP Experienced
      5 years
      scikit-learn, XGBoost, PyTorch, TensorFlow / Keras, Hugging Face, nltk, Time-series forecasting, Classification, Anomaly detection
    • Databases Experienced
      6 years
      Snowflake, PostgreSQL, DuckDB, Neo4j, networkX, MongoDB, SQL Server, Oracle, Hive
    • Web App Development Experienced
      5 years
      Next.js, React, Astro, Directus (headless CMS), Algolia, Node.js, Express, Tailwind CSS, Playwright, Streamlit, Flask, Dash, Turborepo / npm workspaces
    • ML Ops Experienced
      5 years
      Snowflake & Snowpark, DataRobot, Streamlit labeling apps, Active learning workflows

    • Programming Languages

    • Programming Languages
      10 years
      Python, SQL, TypeScript, JavaScript, Bash, R

    • Oil & Gas

    • Upstream Oil & Gas Expert
      10 years
      Exploitation / Development Engineering, Production Engineering, Operations, Corporate reporting, A&D evaluation
    • Petroleum Reserves Evaluation Expert
      5 years
      COGEH, NI 51-101