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: 30 July 2026 - To: 06 August 2026
Total Time: 20 hrs 34 mins
PowerShell 8 hrs 48 mins ████████▒░░░░░░░░░░░░░░░░ 33.78 %
Markdown 4 hrs 46 mins ████▓░░░░░░░░░░░░░░░░░░░░ 18.35 %
Python 2 hrs 56 mins ██▓░░░░░░░░░░░░░░░░░░░░░░ 11.27 %
SQL 2 hrs 2 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 07.81 %
Text 46 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.95 %
HTML 45 mins ▓░░░░░░░░░░░░░░░░░░░░░░░░ 02.93 %
JSON 15 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 00.99 %- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [AIOps Agents for Kubernetes Human-in-the-Loop Remediation on GCP](https://dev.to/gde/aiops-agents-for-kubernetes-human-in-the-loop-remediation-on-gcp-4l5i) Sat Aug 08 2026 12:43 PM- [I Gave Five AI Systems the Same Architecture Test 10 Times. The Test Became More Interesting Than the Models](https://dev.to/neonalt9/i-gave-five-ai-systems-the-same-architecture-test-10-times-the-test-became-more-interesting-than-572) Sat Aug 08 2026 12:39 PM- [Zero Dependency 2026 — Build Real Software With No Packages. Prove It.](https://dev.to/raptorsdev/zero-dependency-2026-build-real-software-with-no-packages-prove-it-hnc) Sat Aug 08 2026 12:19 PM- [I Turned an Android Phone Into a No-Root Cybersecurity Learning Workspace](https://dev.to/dedsec1121fk/i-turned-an-android-phone-into-a-no-root-cybersecurity-learning-workspace-303c) Sat Aug 08 2026 12:19 PM- [Your CNN's Advantage Is One Assumption — and I Measured What Happens When It Breaks](https://dev.to/pytorchfromgroundup/your-cnns-advantage-is-one-assumption-and-i-measured-what-happens-when-it-breaks-490d) Sat Aug 08 2026 12:19 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!