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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Irina Cazacu — Data Fabric Engineer</title>
<meta name="description" content="Azure Fabric & lakehouse engineering for retail and distribution teams, from someone who ran the operations floor for 20 years.">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&family=IBM+Plex+Sans:wght@400;500;600&family=IBM+Plex+Mono:wght@400;500&display=swap" rel="stylesheet">
<style>
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/* ---------- nav ---------- */
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@media (max-width:640px){ .pipeline{display:none;} }
/* ---------- section shell ---------- */
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.section-desc{color:var(--text-dim); margin-top:14px; font-size:16px;}
/* ---------- journey timeline ---------- */
.timeline{position:relative; padding-left:36px; max-width:720px;}
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/* ---------- services / medallion tiers ---------- */
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.pricing-note{
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}
/* ---------- portfolio ---------- */
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@media (max-width:700px){ .projects{grid-template-columns:1fr;} }
.project{
background:var(--bg-card); border:1px solid var(--line); border-radius:4px;
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.project-num{font-family:var(--font-mono); font-size:12px; color:var(--text-faint); margin-bottom:12px;}
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font-family:var(--font-mono); font-size:14px; color:var(--gold); text-decoration:none;
}
/* ---------- credentials ---------- */
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.cred.inprogress .cred-status{color:var(--gold);}
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.foot-note{margin-top:64px; font-size:13px; color:var(--text-faint); font-family:var(--font-mono);}
</style>
</head>
<body>
<header>
<nav class="wrap">
<div class="logo">IRINA<span>.</span>CAZACU</div>
<div class="navlinks">
<a href="#journey">Journey</a>
<a href="#services">Services & pricing</a>
<a href="#portfolio">Portfolio</a>
<a href="#contact">Contact</a>
</div>
</nav>
</header>
<section class="hero" style="border-top:none;">
<div class="wrap">
<div class="eyebrow">Data fabric & lakehouse engineering</div>
<h1>From the warehouse floor<br>to the <span class="accent">data lakehouse.</span></h1>
<p class="lede">
Nearly 20 years running retail replenishment operations, now building the Azure Fabric
pipelines that give retail and distribution teams the same visibility over their data
that I once had to build by hand on the floor.
</p>
<div class="hero-cta">
<a href="#portfolio" class="btn btn-primary">See the work</a>
<a href="#contact" class="btn btn-secondary">Get in touch</a>
</div>
<div class="pipeline">
<div class="stage">
<div class="stage-dot"></div>
<div class="stage-label">Bronze</div>
<div class="stage-sub">raw operational data</div>
</div>
<div class="connector"></div>
<div class="stage">
<div class="stage-dot"></div>
<div class="stage-label">Silver</div>
<div class="stage-sub">cleaned & modeled</div>
</div>
<div class="connector"></div>
<div class="stage">
<div class="stage-dot"></div>
<div class="stage-label">Gold</div>
<div class="stage-sub">decisions you can trust</div>
</div>
</div>
</div>
</section>
<section id="journey">
<div class="wrap">
<div class="section-head">
<div class="section-eyebrow">The path here</div>
<h2>Two disciplines, one habit of mind</h2>
<p class="section-desc">
Every stage of this path taught the same lesson from a different angle: a business
runs on the quality of the information underneath it.
</p>
</div>
<div class="timeline">
<div class="tl-item">
<div class="tl-marker"></div>
<div class="tl-year">Foundation</div>
<div class="tl-title">Chemical engineering</div>
<div class="tl-desc">
Trained to think in systems, inputs, and process control — the same logic that
now shapes how I design a data pipeline.
</div>
</div>
<div class="tl-item">
<div class="tl-marker"></div>
<div class="tl-year">~20 years</div>
<div class="tl-title">Retail & replenishment operations leadership</div>
<div class="tl-desc">
Ran the operational side of retail and distribution — demand, stock flow, and the
reporting gaps that come from data spread across too many disconnected systems.
</div>
</div>
<div class="tl-item">
<div class="tl-marker"></div>
<div class="tl-year">2025 – 2026</div>
<div class="tl-title">Azure fundamentals</div>
<div class="tl-desc">
AZ-900 and DP-900 certified, plus a Firebrand Training data engineering bootcamp,
to formalize the cloud and data platform side of the work.
</div>
</div>
<div class="tl-item">
<div class="tl-marker"></div>
<div class="tl-year">In progress — target Dec 2026 / Jan 2027</div>
<div class="tl-title">DP-700: Microsoft Fabric Data Engineer Associate</div>
<div class="tl-desc">
Deep specialization in Microsoft Fabric — lakehouses, pipelines, and the medallion
architecture this site borrows its structure from.
</div>
</div>
</div>
</div>
</section>
<section id="services">
<div class="wrap">
<div class="section-head">
<div class="section-eyebrow">How I can help</div>
<h2>Engagements, structured like the data itself</h2>
<p class="section-desc">
Retail and distribution teams tend to need help at one of three depths. I've named
them after the layers I actually build.
</p>
</div>
<div class="tiers">
<div class="tier bronze">
<div class="tier-label">Bronze</div>
<div class="tier-title">Lakehouse foundation</div>
<div class="tier-desc">Get scattered operational data into one governed home.</div>
<ul>
<li>Microsoft Fabric / lakehouse setup</li>
<li>Ingesting source systems (ERP, POS, inventory)</li>
<li>Establishing raw data landing zones</li>
</ul>
<div class="tier-price-row">
<span class="tier-price-from">From</span>
<span class="tier-price">£750</span>
<span class="tier-price-unit">/ project</span>
</div>
<a href="#contact" class="tier-cta">Enquire</a>
</div>
<div class="tier silver">
<div class="tier-label">Silver</div>
<div class="tier-title">Pipelines & modeling</div>
<div class="tier-desc">Turn raw data into clean, trustworthy, queryable tables.</div>
<ul>
<li>PySpark / Fabric pipeline development</li>
<li>Data cleaning, transformation, and modeling</li>
<li>Automated refresh & orchestration</li>
</ul>
<div class="tier-price-row">
<span class="tier-price-from">From</span>
<span class="tier-price">£1,800</span>
<span class="tier-price-unit">/ project</span>
</div>
<a href="#contact" class="tier-cta">Enquire</a>
</div>
<div class="tier gold">
<div class="tier-label">Gold</div>
<div class="tier-title">Strategic consulting</div>
<div class="tier-desc">Data that's ready for the decisions leadership actually makes.</div>
<ul>
<li>Replenishment & demand reporting layers</li>
<li>Dashboard-ready gold datasets</li>
<li>Advisory grounded in real ops experience</li>
</ul>
<div class="tier-price-row">
<span class="tier-price-from">From</span>
<span class="tier-price">£300</span>
<span class="tier-price-unit">/ day</span>
</div>
<a href="#contact" class="tier-cta">Enquire</a>
</div>
</div>
<p class="pricing-note">
Prices are starting points — every engagement gets scoped to the size of your data and
systems before a final quote. Ongoing support is also available as a monthly retainer
from £600/month. Get in touch for a free 20-minute scoping call.
</p>
</div>
</section>
<section id="portfolio">
<div class="wrap">
<div class="section-head">
<div class="section-eyebrow">Selected work</div>
<h2>Portfolio</h2>
<p class="section-desc">
Four projects built to show the full lakehouse lifecycle, from raw ingestion to a
gold layer ready for reporting. Code and architecture notes are public on GitHub.
</p>
</div>
<div class="projects">
<div class="project">
<div class="project-num">01</div>
<div class="project-title">Lakehouse foundation</div>
<div class="project-desc">
Standing up a Fabric lakehouse from scratch — bronze-layer ingestion, folder
structure, and governance basics.
</div>
<div class="project-tags"><span class="tag">Fabric</span><span class="tag">Lakehouse</span></div>
</div>
<div class="project">
<div class="project-num">02</div>
<div class="project-title">Pipeline development</div>
<div class="project-desc">
PySpark transformation pipelines that move raw data through cleaning and modeling
into analysis-ready tables.
</div>
<div class="project-tags"><span class="tag">PySpark</span><span class="tag">ETL</span></div>
</div>
<div class="project">
<div class="project-num">03</div>
<div class="project-title">Retail data modeling</div>
<div class="project-desc">
A schema and modeling approach built around retail replenishment concepts —
demand, stock position, and lead time.
</div>
<div class="project-tags"><span class="tag">Data modeling</span><span class="tag">Retail</span></div>
</div>
<div class="project">
<div class="project-num">04</div>
<div class="project-title">Reporting layer</div>
<div class="project-desc">
Gold-layer datasets shaped for dashboards, closing the loop from raw ingestion to
a decision-ready view.
</div>
<div class="project-tags"><span class="tag">Gold layer</span><span class="tag">Reporting</span></div>
</div>
</div>
<a href="https://github.com/Eirina86/Irina_Cazacu" class="repo-link">View the full repo on GitHub →</a>
</div>
</section>
<section id="credentials" style="padding-bottom:0;">
<div class="wrap">
<div class="section-head">
<div class="section-eyebrow">Credentials</div>
<h2>Certifications</h2>
</div>
<div class="creds">
<div class="cred">
<div class="cred-name">AZ-900</div>
<div class="cred-status">Azure Fundamentals — certified</div>
</div>
<div class="cred">
<div class="cred-name">DP-900</div>
<div class="cred-status">Azure Data Fundamentals — certified</div>
</div>
<div class="cred inprogress">
<div class="cred-name">DP-700</div>
<div class="cred-status">Fabric Data Engineer Associate — in progress</div>
</div>
</div>
</div>
</section>
<footer id="contact">
<div class="wrap">
<h2 class="contact-title">Have a data problem worth <span>refining?</span></h2>
<p class="lede" style="margin-top:18px;">
If your team's data is scattered across systems the way mine used to be, let's talk
about what a lakehouse could look like for you.
</p>
<div class="contact-links">
<a href="mailto:cazacuirina@ymail.com">cazacuirina@ymail.com</a>
<a href="https://www.linkedin.com/in/irinacazacu">LinkedIn</a>
<a href="https://github.com/Eirina86">GitHub</a>
</div>
<div class="foot-note">© 2026 Irina Cazacu. Built with Fabric, PySpark, and 20 years of retail floor time.</div>
</div>
</footer>
</body>
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