Skip to content
View adulsaa-q's full-sized avatar

Block or report adulsaa-q

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
adulsaa-q/README.md

Adul Sa-a (Q)

Data & BI Systems Architect · Enterprise Modeling · Data Pipelines · Multi-Agent Tooling

   


 Systems & Core Practice


 Financial BI & Semantic Modeling



P&L and Balance Sheet models across multiple profit centers. Fully version-controlled via PBIP/TMDL and reconciled against accounting ledgers down to zero variance.


 Audited Data Pipelines



Automated extraction and ingestion workflows with document-level deduplication, 3-tier validation (pass / warn / reject), and run-audit logging.


 Dimensional Warehousing



Star schema design, T-SQL data modeling, and DuckDB analytical storage optimized for high-volume transactions and fast analytical querying.


 Multi-Agent Governance



Multi-agent engineering setups with explicit role boundaries, token budgets, file-level locking, and SQLite evidence ledgers for local AI coding tools.


 Technical Stack

Semantic Layer & BI
Data Engineering & SQL
Application & Platform

 Featured Projects

Operating model, role boundaries, and SQLite audit ledger for multi-agent autonomous engineering.

Markdown SQLite Python Git Multi-Agent

Role separation, token budgeting, and file locking across local agents

300K+ transactional order dataset modeled into a star schema with T-SQL and Power BI.

Power BI DAX T-SQL Star Schema Data Modeling

Multi-year margin analysis, return patterns, and DAX reconciliation

Brand mention intelligence engine for AI search. Built with DuckDB star schema, FastAPI, and Gemini API.

Python DuckDB FastAPI Gemini API Star Schema

Share of Voice across 5 engines, live/mock scans, and DuckDB storage

Automated statement ingestion from Gmail IMAP, encrypted PDF parsing, and PostgreSQL loading.

Python PostgreSQL Pydantic pdfplumber GitHub Actions

Document deduplication, 3-tier validation rules, and run history
Other tools: Schema-Map (Postgres schema to Obsidian graph) · AIE-Pulse-Meridian (Market signals) · Housemark (Frontend rules)

 Workspace Telemetry

[WORKSPACE // ACTIVE_STACK]
───────────────────────────────────────────────────────────────────────────────────────────────────
$ sys --list-active-modules

  ▸ POWER_BI_SEMANTIC_MODEL : ACTIVE  (PBIP / TMDL, DAX, financial statement reconciliation)
  ▸ MULTI_AGENT_GOVERNANCE  : ACTIVE  (Role boundaries, SQLite ledger, token budgeting)
  ▸ TSQL_DATA_MODELING      : ACTIVE  (Star schema, stored procs, 300K+ order dataset)
  ▸ DATA_PIPELINES_ETL      : ACTIVE  (DuckDB & Postgres, PDF parsing, deduplication)
  ▸ GEO_BRAND_INTELLIGENCE  : ACTIVE  (AI search tracking, FastAPI, Gemini API)

$ sys --status
STATUS: OPERATIONAL

@adulsaa-q's activity is private