{"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-58e75ad4fa534e94847ac85d993faf7f\" 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-221b77fb3e6deaace4195caeb3b7310b 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-170805954a34ccc3d90eebcf14c66fd6 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-fed1ae9ae8346dd3a64577308e33b1cf\">\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-d264c4931567da3356ad1f3a2c8358c1\">\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-65e8122cb635db6daf05228284031781\">\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-17bb6e64cef8b9b20f0fcda0d8eaa287 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-0996309b903162d39aa6d1e55ed3da88 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-ade3b677973ae35bfc60cd09834493d6 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-14b45f531b8ac403a439baa9b1df5a08 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-f890777e115445875c66396adf29d9c8 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-077d92e8deb41e49fb758a5592eed9cf 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-fd884f9d10b46e5c713a45248a48e436 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-146bbac16e84332712f8324dfe5e460a 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-f04ae461ad08503825db9ecaee3a052c 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-21aa91cdb3ce614b81a038575ae19142 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-3bde3f0fcfd198874838136699263d51 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-e346795ca3ee2f6b5d211ebfffc22095 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-21d59a67c8b70b1ecfe7a4240d7b7f6d 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-d2fdfde84fe725a6484cdf6e14c78a08\"><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-53e83ab615df6cd0d37ca521cdd4593f 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-3a85cbb261be4cc85bc73d98a7d74a70 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-99e87b67e6b91f52cd807b298cdfc05a 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-911823a33e7b6e3d2021d10840a57e3a 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-9921090377e03082c87737560b0532d9 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-43b7ac7630e216ed4db3cf590b1706ed 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-a635651234402530e24fa0b6c9fbb5a9 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-95951b5f51181605ccf80f992faebb31 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 v27.2 - 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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