mnelson.ca

I build AI-native data platforms — and multiply the teams that run them.

Matt Nelson · P.Eng · Berkeley MIDS · 10 years in data, 16 in engineering · Calgary, Canada

The path so far

  1. 2005–2010

    University of Waterloo — BASc Chemical Engineering

  2. 2006–2010

    Engineering Co-op — Lanmark · Olds Gas Plant · Pengrowth

  3. 2010–2014

    Pengrowth Energy — Production & Exploitation Engineer

  4. 2014–2017

    Centrica Energy — Exploitation / Development Engineer

  5. 2016–2018

    Berkeley MIDS — Master of Information & Data Science

    Master of Information and Data Science at UC Berkeley (3.89 GPA). I completed it on nights and weekends while working full-time. It is the point where a decade of engineering turned into a data career.

  6. 2017–2022

    Canlin Energy — Corporate Data Scientist & Reserves Manager

    Drove the transition to self-service data. I implemented Tableau company-wide, with 100+ data sources and 50 workbooks in year one. I owned the regulated annual reserves evaluation that feeds the audited financial statements.

  7. 2022–2024

    Canlin Energy — Data & Advanced Analytics Lead

    Designed, built and ran Canlin’s modern data stack on dbt Cloud, Snowflake and DataRobot. I led the analytics for IROC, the remote operations centre. I mentored junior professionals into data roles along the way.

  8. 2024–2025

    Paramount Resources — Senior Data Analytics Engineer

    Senior IC on the Data Analytics and Integration team. I built corporate PowerBI dashboard suites and Streamlit optimization apps. I advocated at governance level for a modern cloud data stack.

  9. 2025–2026

    StackDX — Data Platform Engineer

    Lead engineer on the US data platform rebuild. A production Dagster architecture replaced a legacy Python ETL stack. It has 15 states and 945 transformation assets. A 3.8 TB source layer distills to a 10.3 GB exposure layer that serves 300M+ records. I shipped it AI-first with a custom Claude Code toolchain. Read more

  10. 2026–now

    StackDX — Product Manager, Stack Maps & Public Data

    Product Manager for Stack Maps and the Public Data team, a 6-person group across two countries. I set the roadmap and still ship in the codebases the roadmap depends on.

Flagship projects

  1. 2014

    P.Eng designation — APEGA, 2014

    Professional Engineer designation (APEGA). It is the licensed-engineering rigor behind every production system since.

  2. 2017–2022

    Reserves evaluation ownership — +$730M technical revisions

    Owned the externally-audited NI 51-101 reserves evaluation for five years. It is the board-level valuation of every corporate asset. Rigorous data and engineering work added +$730M (NPV10) in technical revisions. Read more

  3. 2021–now

    twochannel.ai — 18k+ products · one engineer

    Founder project: an AI-assisted HiFi catalog and system designer. LLM-in-the-loop pipelines maintain 18k+ products across 2k+ brands. A catalog this size normally needs a small data team, and there is only me. Read more

  4. 2022–2024

    dbt + Snowflake platform — Canlin’s data foundation

    The dbt Cloud / Snowflake platform became Canlin’s foundation for operational data, BI and ML. Automation from it saved 50+ hours per week across Operations. Read more

  5. 2022–2024

    8,000-well forecasting — daily production ML

    Modified XGBoost models forecast the next 30 days of production for 8,000+ wells. They infer daily into corporate reporting. They also give 2-year forecasts across the full well set. Read more

  6. 2022–2024

    IROC analytics — remote operations centre

    Real-time well status and production dashboards for Canlin’s Integrated Remote Operating Centre. A networkx model assesses the impact of a facility outage automatically.

  7. 2023–now

    Claude Code toolchain — skills · sub-agents · hooks · MCP

    A cross-repo AI-native development practice: custom skills, sub-agents, hooks, and MCP servers.

  8. 2024–2025

    Auto-Frac sequencer — optimization app

    A Streamlit app that replaced a manual operations-scheduling task. Its purpose-built optimization algorithm balances efficiency, sequencing and equipment-rotation constraints.

  9. 2024–2025

    Modern-stack PoC — Python · dbt · cube.js · DuckDB

    A fully working local modern data stack in Docker: Python ingestion, dbt Core, cube.js, DuckDB and PowerBI. It replaced legacy R + CSV flows and anchored the case for cloud analytics.

  10. 2025–now

    US Dagster platform — 300M+ records · 945 assets

    Production-grade Dagster-native platform for US oil & gas data. It has a Polars/DuckDB performance layer, Terraform-managed AWS, schema contracts and CI. It is the case study in shipping a modern data platform AI-first. Read more

What it adds up to

  • Data platform engineering

    Dagster, dbt, Snowflake, Polars and DuckDB. Three generations of platform builds, and each one is the foundation its company still runs on.

  • ML & AI engineering

    On the AI side: LLM-in-the-loop pipelines, structured outputs, MCP servers and Claude Code toolchains. On the ML side: forecasting, classification and anomaly detection, deployed. 8,000 wells infer daily into corporate reporting.

  • Analytics engineering & BI

    Tableau and PowerBI run as corporate platforms, with semantic layers over the warehouse and reporting automated end to end. The weekly production report alone gave Operations back 50+ hours a week.

  • Data leadership

    Team coordination, mentorship and board-level ownership. Today that is a 6-person cross-border team, after a decade of turning analysts into data professionals.

Live preview of Twochannel's system builder, from an AI-native monorepo I designed and built end to end.

How I work

My Red Bull Wingfinder profile puts Autonomous and Reserved at the far end, with Achiever and Dutiful right behind, which reads about right: I do my best work with room to think and a standard of my own to hit, and I tend to see things through. Hover any scale for the detail.

Connections

how you manage relationships, and how well you work independently

Drive

level of ambition

Creativity

how original the thinking is, against how logical and analytical

Thinking

what you draw on when solving problems

Red Bull Wingfinder ↗ · 12 bipolar scales across 4 areas · completed 18 Aug 2026 · filled bars are the four flagged top strengths

Hiring for a data or AI team?

The fastest way to reach me is email. The resume is one click away.