Nisar A.
Senior Data Engineer | ETL/ELT | AWS/Azure/GCP | Web Scraping & APIs
I help companies automate data workflows, build robust pipelines, and transform raw data into analytics-ready systems. Whether you're scaling a product, fixing a broken pipeline, or building a new data backbone, I deliver reliable, documented, production-grade solutions end-to-end. 💡 Core Expertise ☁️ Cloud & Warehousing AWS · GCP · Azure · Snowflake · BigQuery · PostgreSQL · SQL Server 🔧 ETL / ELT Orchestration DBT · Airflow · AWS Glue · MuleSoft · Azure Data Factory · Pentaho · Powershell 🕸️ Web Scraping Selenium · Playwright · Scrapy · BeautifulSoup · Shadow-DOM/Complex JS Sites · API Extraction 🌐 API Integrations Google Ads · Meta Ads · Zoho · HubSpot · WooCommerce · Google Sheets 📊 Analytics & BI Looker · Tableau · Power BI 🐍 Languages Python · SQL · Java · C# · Deluge 🐳 Containers & Deployment Docker ⚡ Automation n8n · Zapier · Integromat ✨ What I Deliver ✔ Marketing strategy automations ✔ Automated, scalable ETL/ELT pipelines ✔ Cloud data warehouse architecture & optimization ✔ Ad-Platforms conversion tracking and visualization ✔ API → Warehouse integrations (Ads, CRM, ERP, SaaS, eCommerce) ✔ Complex web scraping (dynamic, headless, anti-bot, Shadow DOM) ✔ Marketing pipelines (Google Ads / Meta Ads → Sheets/BigQuery/Looker) ✔ Real-time reporting dashboards & analytics automation ✔ Clean, maintainable, production-ready code with documentation 📌 Featured Projects 1️⃣ Google Ads PPC (Marketing strategy) Automation + Conversion Tracking → Tableau Analytics Built a complete automated workflow that uploads data into Google Ads, retrieves campaign/ad-group/keyword performance metrics, stores them in a database, and presents real-time insights in Tableau dashboards. 2️⃣ Multi-Source Web Scraping → DB → Zoho CRM + Zoho Analytics Automated extraction from multiple sources → structured DB → synced to Zoho CRM. Built Deluge workflows & data visualizations in Zoho Analytics. 3️⃣ Shopify → Database Automation + Power BI Dashboards Shopify API integration, automated pipelines, sales/product analysis in Power BI. 4️⃣ Real-Time Web Scraping → Google Sheets (Apps Script) Live data feeds using Apps Script triggers, auto-refresh, and rate-limit handling. 5️⃣ AWS Glue Scraping + Normalization → Salesforce Lead Upload Multi-site scraping with Glue Jobs, unified schema normalization, UPSERT logic, Salesforce delivery. 6️⃣ Docker-Based Shadow-DOM Scraper on AWS Lambda Selenium scraper for complex JS/Shadow-DOM pages, containerized via Docker, deployed to Lambda. 7️⃣ Azure Data Factory – Parameterized Data Cleansing Flow Fully parameterized ADF pipelines for vendor cleansing & multi-step transformations. 🤝 Why Clients Hire Me ✅ End-to-end ownership (ingestion → transformation → reporting) ✅ Fast communication & clear documentation ✅ 100% reliable delivery — no delays, no excuses ✅ Strong problem-solving for broken pipelines and legacy systems ✅ Experience with startups, agencies & enterprise data environments If you need a dependable Data Engineer who can build, automate, and optimize your entire data ecosystem — let’s work together.
Earnings and projects
Last 6 months ÷ 6
Billed in all: $19,592$20k
Across 10 contracts