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Most dashboards fail the same way. The numbers don't tie out, the refresh breaks the moment the source changes, and within a month the team is back in Excel checking the dashboard by hand. That happens because whoever built the report was never allowed near the data underneath it. I do both halves. That's why my dashboards survive contact with real data. WHAT CLIENTS SAY Every Upwork job I've finished that got rated came back 5.0, and clients keep tagging the same three things: Committed to Quality, Clear Communicator, Accountable for Outcomes. "Absolutely exceptional work! Expert for sure!" "Efficient, professional, and really understood what I needed. The dashboard is super intuitive." "Mostafa did an excellent job. He was very kind and exceptionally patient." THE ENGINEERING HALF In my full time role I built and run a food manufacturing group's entire analytics platform, alone. NetSuite ERP pulled with Python into a BigQuery warehouse in bronze, silver and gold layers, refreshing unattended on Cloud Run every day. On top of it sits one Power BI model: 64 tables, 673 DAX measures, 14 published reports, one definition per metric. It also runs a verification step that catches a broken column before it reaches a dashboard as a silent zero, which is the failure nobody notices until a board meeting. Python, SQL, Google BigQuery, ETL and ELT pipelines, star schema and data modeling, incremental refresh, Cloud Run and Cloud Scheduler, REST APIs, Google Apps Script. THE ANALYTICS HALF Power BI and Looker Studio dashboards for marketing, sales, finance and operations teams. Recent work here: an ads performance dashboard tracking spend across Meta, TikTok and Snapchat, a content and sales ops analytics dashboard, and a Power BI report rebuilt from a layout that wasn't working. Power BI (DAX, Power Query, semantic models), Looker Studio, GA4, Google Search Console, Google Ads, Meta Ads, TikTok Ads, Snapchat Ads, Excel, Google Sheets. WHAT YOU ACTUALLY GET A data model, not just a screen. Ask a new question next quarter and it answers without a rebuild. Metrics defined once. Revenue means the same thing on every page, in every report. A refresh that runs itself on a schedule, plus a check that tells you when a source breaks instead of quietly showing zero. A short handover walkthrough so your team can maintain it without me. HOW I WORK I start small on purpose. One page you can react to first, then the rest. You see something real in the first few days instead of waiting two weeks for a reveal, and you get progress updates the whole way. SEE THE WORK BEFORE YOU SPEND ANYTHING 100 project walkthroughs on my channel, Power BI and Looker Studio, organized by business area: Arabic and English. Delivered for Riyadh Municipality, the Royal Commission, Qassim Medical Complex and Zayed Schools. START HERE Send me your current dashboard, or just a sample of your raw data. I'll send back a short written diagnosis: what's wrong, why it's happening, and what it would take to fix. No call needed, no charge. If you like how I think, we go from there.

I help businesses turn data into clear insights, better decisions, and more efficient processes. I work across data analysis, dashboards, automation, and data engineering. I can organize and transform raw data, build clear reports and dashboards, automate repetitive tasks, and create reliable solutions for handling large amounts of data. My focus is always on solving real business problems—saving time, reducing errors, improving reporting, and making data easier to understand and use. I also have experience coordinating projects and working with teams, allowing me to communicate clearly, manage deadlines, and deliver reliable results. If you need help with data, reporting, dashboards, automation, or data solutions, I’m ready to help.

I help businesses automate reporting and turn scattered data — from Shopify, ads, spreadsheets, and ops tools — into one clear, decision-ready picture. 7+ years working with Excel, Python, SQL, ETL, APIs, BigQuery, and BI/dashboard tools — including 3+ years running daily/weekly KPI reporting for an e-commerce company across vendors, warehouse, shipping, and call center data. 🔍 What I Can Help You With: Data Cleaning & Automation: Build Excel and Python-based workflows that reduce manual reporting and improve speed. Dashboard & Data Visualization: Design intuitive dashboards and BI reports in Looker Studio, Power BI, or Tableau for non-technical users. API & Web Scraping: Collect and structure external data (ads, SEO, social media, e-commerce) using Python and APIs. SQL + BigQuery Pipelines: Transform raw, messy data into clean datasets ready for decision-making. 📊 Highlights from Past Work: Nano Hearing Aids (3+ years): Automated vendor and call center reporting using Python + Google Sheets. Built Google Colab tools for non-technical teams. UAE Clinics SEO Dashboard: Created BigQuery SQL pipelines + Looker Studio dashboards tracking SEO/traffic for 10+ medical centers. Social Media Analytics: Analyzed engagement trends across Instagram & Twitter using custom Python scripts and content classifiers. 🎓 Certifications & Training: Udacity Data Analyst Nanodegree IBM AI Engineering Professional Certificate IBM AI Workflow Specialization 🤝 Why Clients Hire Me: Versatile: From scraping public APIs to delivering investor-ready dashboards — I adapt to your use case. Clear Communicator: You get updates, documentation, and no guessing. Detail-Oriented: I double-check before I deliver, not after. Let's talk about how I can help streamline your data and scale your decisions.

Top 1% Expert-Vetted | I combine Data Engineering, AI, and Dashboard Design with a strong focus on UI/UX to make sure the numbers are accurate, the visuals make sense, and the insights help people make better decisions. My main areas of expertise are Data Engineering, Data Analysis, Data Visualization, Marketing Analytics, and AI Automation. I enjoy everything from connecting different data sources and building reliable data pipelines to designing interactive dashboards and automating reports. My goal is simple: help businesses spend less time dealing with data and more time using it. SORRY FOR THE LONG TEXT BELOW, BUT I WANT THIS SECTION OF MY PROFILE TO HELP ME STAND OUT ON UPWORK AND SHOWCASE MY TECHNICAL EXPERTISE. ✌️😃🤷‍♂️ Here's a list of my preferred tools and technologies, categorized by their respective functions: Data Engineering & ETL: SQL, Python, Pandas, NumPy, Google Apps Script, BigQuery SQL, PostgreSQL, MySQL, Oracle SQL, PL/SQL, Amazon Athena, REST APIs, JSON, CSV, Google Sheets API, Shopify API, Meta Ads API, Google Analytics API, Docker, n8n, Webhooks, Apache Airflow. Dashboarding: Metabase, Apache Superset, Looker Studio, Google Data Studio, Microsoft Power BI, Power BI Embedded, Tableau, Tableau Desktop, Tableau Cloud, Looker BI, Looker Enterprise, Amazon QuickSight, Plotly, Plotly Dash, D3.js, Chart.js, Google Sheets, Microsoft Excel. TOP Niche Expertise: Metabase, Apache Superset, Looker Studio, Power BI, Tableau, Google BigQuery, PostgreSQL, MySQL, Amazon Athena, Google Analytics 4 (GA4), Google Ads, Meta Ads, Shopify, HubSpot, Embedded Analytics, AI Agents, n8n Automation, Python, SQL. Marketing & Advertising: Google Analytics 4 (GA4), Google Ads, Meta Ads, Facebook Ads, Instagram Ads, Google Tag Manager (GTM), Google Search Console, Looker Studio, Google Sheets, HubSpot, Shopify, Amazon Ads, Supermetrics, Google Ads API, Meta Marketing API, Google Analytics Data API, Google BigQuery, Mailchimp, Klaviyo. Ecommerce: Shopify, Shopify API, Amazon Seller Central, Amazon Ads, BigCommerce, WooCommerce, Stripe, PayPal, HubSpot, Google Analytics, Google Ads, Meta Ads, Google Merchant Center, IngramSpark, Google Sheets, Looker Studio, BigQuery. Databases & Data Warehousing: PostgreSQL, MySQL, Google BigQuery, Amazon Athena, Microsoft SQL Server, Oracle Database, Snowflake, Amazon Redshift, Azure SQL Database, Supabase, ClickHouse, MariaDB, SQLite, Google Cloud Storage, Amazon S3. Data Modeling: Power Query, DAX, SQL, Python, LookML, Power BI Desktop, Power BI Service, BigQuery, PostgreSQL, Microsoft SQL Server, dbt (Data Build Tool), Tableau Prep, Excel Power Pivot. Cloud & Infrastructure: Google Cloud Platform (GCP), Google BigQuery, Google Cloud Storage, Amazon Web Services (AWS), Amazon Athena, Amazon S3, Microsoft Azure, Azure SQL Database, DigitalOcean, Docker, Supabase. AI & Automation: OpenAI, ChatGPT, Claude, OpenAI API, Anthropic API, n8n, AI Agents, LangChain, Ollama, RAG, Google Apps Script, Python, REST APIs, Webhooks, Slack API, Gmail API, Google Drive API, Google Sheets API, Zapier, Make. CRM & Business Platforms: HubSpot, Salesforce, Zoho CRM, Microsoft Dynamics 365, Shopify, Stripe, Google Sheets, Airtable, Supabase, Microsoft Excel, Google Workspace, Slack. Additional tags: Metabase, Apache Superset, Looker Studio, Google Data Studio, Microsoft Power BI, PowerBI, Power BI Embedded, Tableau, Tableau Cloud, Tableau Desktop, Looker, LookML, Amazon QuickSight, Plotly, Plotly Dash, D3.js, Chart.js, Google BigQuery, PostgreSQL, MySQL, Oracle, Oracle SQL, PL/SQL, Microsoft SQL Server, Azure SQL, Snowflake, Amazon Redshift, Amazon Athena, ClickHouse, MariaDB, SQLite, Supabase, dbt, Python, Pandas, NumPy, SQL, Power Query, DAX, Tableau Prep, Google Analytics, GA4, Google Ads, Meta Ads, Facebook Ads, Instagram Ads, Google Tag Manager, Google Search Console, Google Merchant Center, Shopify, WooCommerce, BigCommerce, Amazon Seller Central, Amazon Ads, HubSpot, Salesforce, Zoho CRM, Microsoft Dynamics, Stripe, PayPal, Mailchimp, Klaviyo, Supermetrics, Google Sheets, Microsoft Excel, Google Apps Script, REST API, API Integration, Shopify API, Google Analytics API, Meta Marketing API, Google Ads API, ETL, ELT, Docker, AWS, GCP, Azure, Amazon S3, Google Cloud Storage, DigitalOcean, OpenAI, ChatGPT, Claude, Anthropic, LangChain, Ollama, RAG, AI Agents, n8n, Zapier, Make, Webhooks, Airtable, Slack, Gmail API, Google Drive API, Google Sheets API, JavaScript, HTML, CSS, Git, GitHub.