ANTHONY PENA · DATA ENGINEER · BUILD IN PUBLIC
Architecting high-velocity data pipelines. No black boxes. Every schema, stream, and anomaly documented in real time across PostgreSQL, Redpanda, RisingWave, ChromaDB, all self-hosted, zero cloud dependencies.
// THE SYSTEMS
PROJECT CODEX · ANALYTICS WAREHOUSE
A self-hosted Amplitude built entirely on PostgreSQL 16 and async Python, proving a well-designed schema can replace an analytics compute stack. Clickstream ingestion under 5ms, idempotent ELT into a partitioned star schema, sessions and funnels computed in pure SQL, auto-provisioned Grafana dashboards.
PROJECT CODEX · AI OBSERVABILITY
Real-time observability and circuit breaking for AI agents. Streaming SQL detects a runaway agent in under 500ms and halts it, while batch tools are still waiting for their next aggregation window.
PROJECT CODEX · SEMANTIC SEARCH
ETL pipeline that turns 100 multilingual PDFs into a semantic index. Ask a question in plain English, get ranked answers with page-level provenance in under 2 seconds, fully local with zero API cost.
// NOW ON YOUTUBE
// REFERENCE INDEX — CONCEPTS
// WHAT YOU'LL FIND HERE
SYSTEMS
Shipped, working systems, each with a full build log. Architecture decisions, anomalies caught in production, fixes deployed. Three systems live: an analytics warehouse, an AI observability stack, a semantic search pipeline.
CONCEPTS
Data engineering concepts and industry signal, explained through real implementations, not textbooks. Star schemas, streaming aggregation, idempotency, embeddings. From systems that actually run.
GROWTH
The human side of building alone. Deep work and the discipline it asks for, what failure actually teaches, why I write before I have the answers. This is where I think out loud about becoming the engineer and the person this work requires. Here, and on YouTube.
I build data systems and write about everything around them: the architecture, the failures, the long detours, and what each one teaches me.
I've been documenting in public since 2021, before I had anything technical to show, because the process is worth showing, not just the result. Stay a while and you'll find more than pipelines here. You'll find the person building them.
Engineering as documentation. Life as documentation. To me they were always the same instinct.