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"],
};☁️ Cloud · Platform · DevOps
💾 Data Engineering · DataOps
🧠 AI · ML · LLMs (the growth edge)
💻 Languages · Tools
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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).
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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.
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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.
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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.
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From: 05 July 2026 - To: 12 July 2026
Total Time: 13 hrs 41 mins
Markdown 6 hrs 18 mins ███████████░░░░░░░░░░░░░░ 43.60 %
JSON 2 hrs 9 mins ███▓░░░░░░░░░░░░░░░░░░░░░ 14.86 %
SQL 2 hrs 4 mins ███▓░░░░░░░░░░░░░░░░░░░░░ 14.28 %
Python 1 hr 15 mins ██▒░░░░░░░░░░░░░░░░░░░░░░ 08.72 %
Text 43 mins █▒░░░░░░░░░░░░░░░░░░░░░░░ 04.98 %
PowerShell 22 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.53 %
Git Config 13 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 01.55 %
- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [Have you ever gotten tired of Googling where favicons go in every framework? I certainly did.](https://dev.to/favico_studio_bfb6660addb/have-you-ever-gotten-tired-of-googling-where-favicons-go-in-every-framework-i-certainly-did-4839) Mon Jul 13 2026 2:39 PM- [Hardening Docker Containers: The Security Habits That Actually Matter](https://dev.to/jjoyneriv/hardening-docker-containers-the-security-habits-that-actually-matter-3d88) Mon Jul 13 2026 2:38 PM- [Llamafile vs vLLM: Two Ways to Serve a Local Model, and When Each Makes Sense](https://dev.to/o96a/llamafile-vs-vllm-two-ways-to-serve-a-local-model-and-when-each-makes-sense-gim) Mon Jul 13 2026 2:37 PM- [I open-sourced a Solidity security scanner with 0 false positives on all of OpenZeppelin](https://dev.to/juan23z/i-open-sourced-a-solidity-security-scanner-with-0-false-positives-on-all-of-openzeppelin-3o2h) Mon Jul 13 2026 2:37 PM- [HTML & CSS](https://dev.to/dharanidharan/html-css-4oin) Mon Jul 13 2026 2:37 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 ☕
"Pipelines should be like good plumbing — invisible, reliable, and someone else's problem when they break. I'm the someone else."
🟢🤍🔴 Fatto con espresso ☕ & 🍕 a Milano · Ciao mondo!