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Alexa Amundson
292fa97a8e
RoadChain-SHA2048: 9f948f149bd9f508 RoadChain-Identity: alexa@sovereign RoadChain-Full: 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
74 lines
2.5 KiB
Markdown
74 lines
2.5 KiB
Markdown
# Alexa Amundson
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**Data Engineer**
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amundsonalexa@gmail.com | [github.com/blackboxprogramming](https://github.com/blackboxprogramming)
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---
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## Summary
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Data engineer building pipelines that collect, aggregate, and report 60+ KPIs daily across 9 data sources. Manages 283 databases (PostgreSQL, SQLite, D1, KV), FTS5 search indexes, and distributed tracing infrastructure across a 7-node fleet.
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---
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## Experience
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### BlackRoad OS | Founder & Data Lead | 2025–Present
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**Data Pipelines**
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- Built 9-collector KPI pipeline: GitHub API, Gitea API, SSH fleet probes, Cloudflare API, local system metrics
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- Daily aggregation of 60+ metrics into timestamped JSON snapshots
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- Day-over-day delta computation for trend tracking
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- Multi-format output: terminal report, Slack (block kit), markdown, raw JSON
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**Data Collection**
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- GitHub collector: commits, PRs, events, languages, stars, forks via `gh` CLI API
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- Fleet collector: Python probes piped over SSH to each node (CPU, RAM, disk, Docker, Ollama)
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- Services collector: deep inspection of Ollama, Docker, PostgreSQL, Nginx, systemd per node
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- Autonomy collector: self-healing events, cron jobs, timers, service restarts
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- Cloudflare collector: D1 databases, KV namespaces, R2 buckets, Pages projects
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**Data Storage**
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- 11 PostgreSQL databases across fleet
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- 230 SQLite databases (1.4 GB) with 111 registered systems
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- 22 D1 databases (40 MB) for serverless applications
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- 46 KV namespaces for edge state
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- FTS5 index across 354 repos and 156,675 memory entries
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**Data Quality**
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- All KPI metrics machine-verified from live sources
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- Automated collection via cron (6 AM daily) + GitHub Actions
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- Snapshot retention: daily JSON files with full source data
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- Distributed tracing with nanosecond-precision spans
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**Reporting**
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- Terminal dashboard with color-coded metrics and progress bars
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- Slack webhook integration with block kit formatting
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- Markdown report for GitHub README auto-update
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- Historical comparison with delta indicators
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---
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## Technical Skills
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**Pipelines:** Bash, Python, SSH, cron, GitHub Actions
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**Databases:** PostgreSQL, SQLite/FTS5, Cloudflare D1, KV
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**APIs:** GitHub API, Cloudflare API, Gitea API, Ollama API
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**Formats:** JSON, Markdown, Slack Block Kit
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**Tools:** gh CLI, Wrangler, Python (json, urllib), Bash
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---
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## Metrics
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| Metric | Value |
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|--------|-------|
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| Daily KPIs tracked | 60+ |
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| Data collectors | 9 |
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| Databases managed | 283 |
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| Data pipeline runs | Daily automated |
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| Repos indexed | 354 |
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| Memory entries | 156,675 |
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| Report formats | 4 |
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