Alexander Butler
z3z1ma
I wear many hats -- image credit: Trevor K
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Python
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Top Repositories
Provides automated YAML management and a streamlit workbench. Designed to optimize dev workflows.
Alto is a versatile data integration tool that allows you to easily run Singer plugins, build and cache PEX files encapsulating those plugins, and create a data reservoir whereby you can extract once and replay to as many destinations as you want.
dbt-core-interface is an MIT licensed high level wrapper for dbt-core that can be used to drive third party integrations such as servers, CI automation, DWH automation, etc. without duplicate boilerplate.
target-bigquery is a Singer target for BigQuery. It supports storage write, GCS, streaming, and batch load methods. Built with the Meltano SDK.
A framework to manage data, continuously
Feature Flags in dbt models
Repositories
93Pi packages composing what I call loom, an AI development substrate
Provides automated YAML management and a streamlit workbench. Designed to optimize dev workflows.
💽 Gruvbox theme for tmux built on top of catppuccin base
A framework to manage data, continuously
A VSCode extension over a simple SQLMesh LSP implementation
A custom templater for SQLFluff designed to preprocess SQL scripts used with SQLMesh
target-bigquery is a Singer target for BigQuery. It supports storage write, GCS, streaming, and batch load methods. Built with the Meltano SDK.
SQLMesh is a DataOps framework that brings the benefits of DevOps to data teams. It enables data scientists, analysts, and engineers to efficiently run and deploy data transformations written in SQL or Python.
Analyzes BigQuery query history to identify candidates for BigQuery smart tuning, then automatically creates materialized views (MVs) for applicable queries.
Agent-native development substrate with four layers: tickets, memory, workspace, and team orchestration.
My personal dotfiles
Just a testbed for loom, a tool for managing a horde of your favorite TUIs
Alto is a versatile data integration tool that allows you to easily run Singer plugins, build and cache PEX files encapsulating those plugins, and create a data reservoir whereby you can extract once and replay to as many destinations as you want.
dbt-core-interface is an MIT licensed high level wrapper for dbt-core that can be used to drive third party integrations such as servers, CI automation, DWH automation, etc. without duplicate boilerplate.
LookerVault is a CLI tool that backs up your Looker content to local allowing snapshotting, archival, restoration, and static analysis
Schema-driven synthetic MongoDB document generation for high-volume CDC and load testing, preserving document structure and size characteristics without relying on production data.
Bazel Python Rules
Singer tap for the Confluence Content REST API
More compatible Bazel rules for running Python tools and building Python projects
Feature Flags in dbt models
Fastest library to load data from DB to DataFrames in Rust and Python
A lightweight CLI and MCP server for automating Looker workflows, CI pipelines, and AI-assisted LookML development.
Tap for mongodb emphasizing simplicity and leveraging Meltano SDK
Python SQL Parser and Transpiler
The easiest way to load data in an ELT process, focus on extraction and decouple logic to allow flexible and fast solutions.
Official Python client library for the Asana API v1
No description provided.
BigQuery DataFrames
Create a draggable and resizable dashboard in Streamlit, featuring Material UI widgets, Monaco editor (Visual Studio Code), Nivo charts, and more!
A dummy tap for Singer/Meltano