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).
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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: 02 August 2026 - To: 09 August 2026
Total Time: 17 hrs 17 mins
PowerShell 6 hrs 50 mins ████████▒░░░░░░░░░░░░░░░░ 32.93 %
Markdown 4 hrs 46 mins █████▓░░░░░░░░░░░░░░░░░░░ 23.01 %
Python 2 hrs 56 mins ███▓░░░░░░░░░░░░░░░░░░░░░ 14.14 %
Text 46 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 03.70 %
HTML 45 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 03.67 %
SQL 45 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 03.63 %
JSON 13 mins ▒░░░░░░░░░░░░░░░░░░░░░░░░ 01.08 %- 🔒 Closed issue #1 in mojiTMJ/mojiTMJ
- [Why We Moved Away From WordPress So Early](https://dev.to/sebastianvelezg/why-we-moved-away-from-wordpress-so-early-2hj8) Tue Aug 11 2026 1:40 AM- [How to Calculate Distance Between Two GPS Coordinates in JavaScript](https://dev.to/echoluoluo/how-to-calculate-distance-between-two-gps-coordinates-in-javascript-3f13) Tue Aug 11 2026 1:25 AM- [Early Warning System: Detecting Flu & Infections using LSTM on Your Wrist ⌚️🔬](https://dev.to/wellallytech/early-warning-system-detecting-flu-infections-using-lstm-on-your-wrist-5237) Tue Aug 11 2026 1:25 AM- [Genetic algorithms for trading strategy optimization](https://dev.to/weston_carnes_d580b505e0c/genetic-algorithms-for-trading-strategy-optimization-49f9) Tue Aug 11 2026 1:21 AM- [How to build a crypto trading bot (architecture, not hype)](https://dev.to/weston_carnes_d580b505e0c/how-to-build-a-crypto-trading-bot-architecture-not-hype-21g9) Tue Aug 11 2026 1:21 AM
- 🏗️ 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 ☕

