Data Warehouse
Ingestion, ETL/ELT, normalization, dimensional modeling, transformations, analytics and reporting, end to end.
- SQL
- PostgreSQL
- Python
Class dossier · The Vault-Keeper
Database Engineer
Models the domain. Guards the vault. Answers the query.
Archetypal attributes: a presentation device, not a measurement.
Data modeling, warehousing and graph data. The Archivist treats a database as the computational model of a domain, not just somewhere to keep rows: schemas that mean something, relationships that can be traversed, queries that answer real questions.
The vault holds a data warehouse, a graph of a human life, and an engine that models an entire story: three different ways to teach a database how the world fits together.
Ingestion, ETL/ELT, normalization, dimensional modeling, transformations, analytics and reporting, end to end.
A life modeled as a graph: nodes, relationships, traversals, shortest paths and graph queries, with an actual human purpose behind them.
The StackBlitz demo will use a self-contained in-memory graph rather than the production Postgres stack.
A database that models the story itself: characters, factions, locations, events, goals and causality, all queryable along the timeline.