{"id":1968,"date":"2026-01-26T19:49:50","date_gmt":"2026-01-26T19:49:50","guid":{"rendered":"https:\/\/ranaghazzi.com\/?p=1968"},"modified":"2026-05-10T15:47:28","modified_gmt":"2026-05-10T15:47:28","slug":"it-survey-part-2","status":"publish","type":"post","link":"https:\/\/ranaghazzi.com\/?p=1968","title":{"rendered":"Survey Analysis Medallion Pipeline"},"content":{"rendered":"<p><style>\n    .light-font-container, .light-font-container p, .light-font-container h2, .light-font-container li {<br \/>\n        font-weight: #FFFFFF !important;<br \/>\n    }<br \/>\n<\/style>\n<\/p>\n<div class=\"light-font-container\" style=\"background-color: #2b85d9; padding: 40px; border-radius: 15px;\">\n<div class=\"light-font-container\" style=\"background-color: #2b85d9; padding: 10px; border-radius: 15px;\">\n<h1 class=\"wp-block-heading has-text-align-left has-contrast-color has-text-color has-background has-link-color has-large-font-size\" style=\"background-color: #2b85d9; text-align: center;\">IT professional survey data &#8211; ELT<\/h1>\n<\/div>\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-contrast-color has-text-color has-background has-link-color has-large-font-size wp-elements-1\" id=\"block-11bdef61-7168-49e8-8e43-6760caaf6544\" style=\"background-color:#2b86d9a1\"><strong>Tools:&nbsp;Jupiter Notebook | PostgreSQL | Python: Pandas | NumPy | Matplotlib | Seaborn | SciPy<\/strong><\/h3>\n\n\n\n<div style=\"height:19px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-35f06ea7 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-contrast-color has-text-color has-background has-link-color has-large-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/github.com\/Ranoush-USA\/Survey-Analysis-Medallion-ETL.git\" style=\"background-color:#a7f161;padding-right:var(--wp--preset--spacing--60);padding-left:var(--wp--preset--spacing--60)\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Github<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div style=\"height:1px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Project Overview<\/strong><\/h2>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-contrast-color has-text-color has-background has-link-color has-large-font-size wp-elements-2 wp-block-paragraph\" style=\"background-color:#2b86d9a1\">This project implements a multi-layer ETL pipeline for analyzing survey data using the Medallion Architecture pattern. The pipeline extracts raw survey data, performs data quality checks, applies transformations, and prepares, clean and normalized data  using Python and PostgreSQL for analysis.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Architecture<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"background-color:#2b86d9a1\">\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-3 wp-block-paragraph\">The project follows the <strong>**Medallion Architecture**<\/strong> pattern:<\/p>\n\n\n\n<ul class=\"wp-block-list has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-4\">\n<li><strong>Bronze Layer<\/strong>:  Raw data ingestion from APIs and databases<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-5\">\n<li><strong>Silver Layer<\/strong>: Data cleaning, normalization, and transformation<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-6\">\n<li><strong>Gold Layer<\/strong>: (Future) Aggregated, business-ready analytics<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div style=\"height:22px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pipeline Components<\/strong><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Bronze Layer<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-7 wp-block-paragraph\">The Bronze layer handles:<\/p>\n\n\n\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"background-color:#2b86d9a1\">\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-8 wp-block-paragraph\">&#8211; Data extraction from external APIs<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-9 wp-block-paragraph\">&#8211; Connection to PostgreSQL database<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-10 wp-block-paragraph\">&#8211; Loading raw survey data<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-11 wp-block-paragraph\">&#8211; Initial column filtering and selection<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-12 wp-block-paragraph\">&#8211; Raw data storage for future reference<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Silver Layer<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"background-color:#2b86d9a1\">\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-13 wp-block-paragraph\">The Silver layer performs:<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-14 wp-block-paragraph\">&#8211; Data quality checks (duplicates, missing values)<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-15 wp-block-paragraph\">&#8211; Data cleaning and imputation<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-16 wp-block-paragraph\">&#8211; Currency and payment frequency normalization<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-17 wp-block-paragraph\">&#8211; Data type standardization<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-18 wp-block-paragraph\">&#8211; Statistical analysis preparation<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-19 wp-block-paragraph\">&#8211; Chi-square tests for categorical variables<\/p>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-contrast-color has-text-color has-link-color has-x-large-font-size wp-elements-20\"><strong>Earnings Normalization<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"background-color:#2b86d9a1\">\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-21 wp-block-paragraph\">&#8211; Converts various payment frequencies to annual income<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-22 wp-block-paragraph\">&#8211; Standardizes multiple currencies to USD<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-23 wp-block-paragraph\">&#8211; Uses current exchange rates for accurate conversion<\/p>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Data Quality Checks<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\" style=\"background-color:#2b86d9a1\">\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-24 wp-block-paragraph\">&#8211; Duplicate record detection<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-25 wp-block-paragraph\">&#8211; Missing value analysis<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-26 wp-block-paragraph\">&#8211; Data type validation<\/p>\n\n\n\n<p class=\"has-contrast-color has-text-color has-link-color has-large-font-size wp-elements-27 wp-block-paragraph\">&#8211; Statistical distribution analysis<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-contrast-color has-text-color has-background has-link-color has-large-font-size wp-elements-28 wp-block-paragraph\" style=\"background-color:#2b86d9a1\"><strong>**Note**<\/strong>: This project is under active development. Refer to individual notebooks for detailed implementation and analysis steps.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>IT professional survey data &#8211; ELT Tools:&nbsp;Jupiter Notebook | PostgreSQL | Python: Pandas | NumPy | Matplotlib | Seaborn | SciPy Project Overview This project implements a multi-layer ETL pipeline for analyzing survey data using the Medallion Architecture pattern. The pipeline extracts raw survey data, performs data quality checks, applies transformations, and prepares, clean and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1968","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Survey Analysis Medallion Pipeline - Rana Nasri Ghazzi<\/title>\n<meta name=\"description\" content=\"Explore Rana Ghazzi&#039;s data analytics portfolio \u2014 dashboards, visualizations, and insights built with Tableau, Power BI &amp; Python.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ranaghazzi.com\/?p=1968\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Survey Analysis Medallion Pipeline - 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