I'm Jalalledin "Moji" Taavoni — a Data Engineer (Azure data platform · SQL Server · BI) who also takes AI to production, based in Milano 🇮🇹.
I build the unglamorous machinery that makes data trustworthy: metadata-driven ETL, star-schema datamarts, incremental loads that survive 2 a.m., and the CI/CD + governance around them. Then I bring AI to production the same way — from notebook demo to a system that runs reliably, observably, and at the right cost.
const moji = {
role: ["Data Engineer", "DataOps / Data Platform", "AI Integration (production)"],
stack: ["SQL Server", "Azure Data Factory", "Synapse", "Fabric", "SSIS", "SSAS",
"Power BI", "Databricks", "dbt", "Neo4j", "Python", "Azure", "LangChain"],
philosophy: "Thoughtful before fancy.",
education: "Computer Science + Digital Humanities · Università di Pisa",
currently: "Metadata-driven datamarts on Azure — and taking AI to production",
open_to: "Freelance & contract · IT and Remote EU",
reach: ["mojitmj.github.io", "linkedin.com/in/mojitmj", "t.me/mojitmj"],
};|
PowerShell tool that x-rays a SQL Server / Azure SQL instance in one command — full DDL, DMVs, backup history, security audit, design-quality checks, per-table data samples. Cross-platform schedulers (Task Scheduler · SQL Agent · SSIS · cron · systemd).
|
Metadata-driven Azure Data Factory ingestion template — managed-identity auth, multi-env CI/CD (dev/staging/prod), and PR validation (JSON schema + hardcoded-secret scanning). Drop-in for any ADF estate.
|
|
Digital-humanities side project: 175 years of Italian academies as a property graph in Neo4j, visualized in the browser with popoto.js. Where data engineering meets the archive.
|
Live portfolio: dual-positioning landing page (AI / DataOps / DE / BI / DA), animated streaming-source boot, EN/IT toggle with Italian-flag theme, live chat overlay, full visitor metadata pipeline.
|
From: 14 August 2026 - To: 21 August 2026
Total Time: 54 mins
Text 30 mins ██████████████░░░░░░░░░░░ 56.37 %
Python 19 mins █████████░░░░░░░░░░░░░░░░ 36.00 %
Markdown 4 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 07.63 %- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [Making webpack's Docs Update Themselves | GSoC 2026, wrapped](https://dev.to/ryzrr/making-webpacks-docs-update-themselves-gsoc-2026-wrapped-2jmn) Sun Aug 23 2026 12:36 PM- [RPA vs BPA vs Intelligent Automation: A Practical Map for Ops Leaders](https://dev.to/snehasishkonger/rpa-vs-bpa-vs-intelligent-automation-a-practical-map-for-ops-leaders-3459) Sun Aug 23 2026 12:34 PM- [How to Become an AWS Community Builder: Complete Guide for 2027 Applications](https://dev.to/durrello/how-to-become-an-aws-community-builder-complete-guide-for-2027-applications-2911) Sun Aug 23 2026 12:31 PM- [Building a Personal Blog with Laravel: A Real World Project](https://dev.to/arafatweb/building-a-personal-blog-with-laravel-a-real-world-project-4mhp) Sun Aug 23 2026 12:26 PM- [About Me: Afee Muhammod Wafy](https://dev.to/afeemuhammodwafy/about-me-afee-muhammod-wafy-ebi) Sun Aug 23 2026 12:23 PM
- 🏗️ Data platform / DataOps — metadata-driven ETL, star-schema datamarts, lakehouse on ADF + Databricks, CI/CD, governance, FinOps
- 🔧 SQL Server modernization — legacy → Azure SQL / MI / Fabric with replayable migrations
- 📊 BI / Power BI rescues — slow reports, wrong numbers, ungoverned sprawl
- 🤖 Production AI — taking LLM / RAG / agent prototypes to systems that survive Tuesday morning
- 🛡️ AI evaluation & guardrails — golden sets, drift detection, regression gates, jailbreak hardening
- ⚡ Edge AI — Azure AI Foundry Local · ONNX · on-device LLMs for latency- or privacy-bound workloads
shipping: metadata-driven datamarts & ADF pipelines on Azure for IT/EU clients
building: sqlsnapshot v2 — Azure SQL DB + Fabric warehouse coverage
exploring: production AI on Azure + on-device LLMs (Phi-3, Llama-3) via Foundry Local
reading: "Designing Data-Intensive Applications" (annual re-read)
sipping: a long espresso ☕

