DATA / SYSTEMS / ANALYTICS

Systems that produce data.
Data that produces understanding.

Practical work at the intersection of data analytics, data engineering, software systems, infrastructure, and automation.

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DATA ANALYTICS

Explore, validate, model, visualize, and communicate information.

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DATA ENGINEERING

Build the pipelines, integrations, transformations, and data structures behind useful analysis.

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SYSTEMS

Understand the systems that create, move, store, and expose data.

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AUTOMATION

Use Linux, Python, Ansible, Docker, APIs, and operational tooling to make systems repeatable.

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FEATURED PROJECT

MTG Scout

A production Django/MariaDB data platform built to amplify Magic: The Gathering card data with enrichment, analytics, image infrastructure, operational telemetry, and automated processing.

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FIELD NOTES

What I built, what broke, and what I learned.

Technical notes documenting real decisions, implementation work, experiments, infrastructure changes, data problems, and analytical findings.

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THE WORK

Data is never just a spreadsheet.

Synaptic Data sits where analysis meets the systems that make analysis possible: databases, APIs, pipelines, telemetry, infrastructure, automation, and the people who need the resulting information to be trustworthy.

The current professional direction is Technical Data Analyst, with deliberate progression toward Analytics Engineering and Data Engineering.

CONTACT

Have a data problem worth understanding?

Send your project details for a free email suitability review — no voice calls. If there's a match, we schedule a paid kickoff meeting.

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