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Alexa Amundson 292fa97a8e kpi: auto-update metrics 2026-03-13

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RoadChain-Full: 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

2026-03-13 01:07:28 -05:00

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Alexa Amundson

Data Engineer

amundsonalexa@gmail.com | github.com/blackboxprogramming

Summary

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.

Experience

BlackRoad OS | Founder & Data Lead | 2025–Present

Data Pipelines

Built 9-collector KPI pipeline: GitHub API, Gitea API, SSH fleet probes, Cloudflare API, local system metrics
Daily aggregation of 60+ metrics into timestamped JSON snapshots
Day-over-day delta computation for trend tracking
Multi-format output: terminal report, Slack (block kit), markdown, raw JSON

Data Collection

GitHub collector: commits, PRs, events, languages, stars, forks via gh CLI API
Fleet collector: Python probes piped over SSH to each node (CPU, RAM, disk, Docker, Ollama)
Services collector: deep inspection of Ollama, Docker, PostgreSQL, Nginx, systemd per node
Autonomy collector: self-healing events, cron jobs, timers, service restarts
Cloudflare collector: D1 databases, KV namespaces, R2 buckets, Pages projects

Data Storage

11 PostgreSQL databases across fleet
230 SQLite databases (1.4 GB) with 111 registered systems
22 D1 databases (40 MB) for serverless applications
46 KV namespaces for edge state
FTS5 index across 354 repos and 156,675 memory entries

Data Quality

All KPI metrics machine-verified from live sources
Automated collection via cron (6 AM daily) + GitHub Actions
Snapshot retention: daily JSON files with full source data
Distributed tracing with nanosecond-precision spans

Reporting

Terminal dashboard with color-coded metrics and progress bars
Slack webhook integration with block kit formatting
Markdown report for GitHub README auto-update
Historical comparison with delta indicators

Technical Skills

Pipelines: Bash, Python, SSH, cron, GitHub Actions Databases: PostgreSQL, SQLite/FTS5, Cloudflare D1, KV APIs: GitHub API, Cloudflare API, Gitea API, Ollama API Formats: JSON, Markdown, Slack Block Kit Tools: gh CLI, Wrangler, Python (json, urllib), Bash

Metrics

Metric	Value
Daily KPIs tracked	60+
Data collectors	9
Databases managed	283
Data pipeline runs	Daily automated
Repos indexed	354
Memory entries	156,675
Report formats	4

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