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With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

Hello! 👋 My name is Muhammad Amin, I am from Indonesia. I am a web developer and data engineer with over 7 years of experience. I have a diverse skill set that includes proficiency in Python, PHP Codeigniter, and Node.js, as well as expertise in cloud platforms like GCP, Azure, and AWS. Beyond my professional experience, I have a strong foundation in data science and machine learning, which I've developed through various online courses and certifications from platforms such as Datacamp, Coursera, and Dicoding. I'm passionate about learning and continuously improving my skills in these fields. Feel free to check out my GitHub portfolio to see some of my work! I'm always happy to connect, so don't hesitate to reach out if you have any questions or just want to chat. 😊 Github: amien1410

I build the messy middle of software products: workflows, integrations, payments, data pipelines, web scrapers, and AI features that have to keep working after launch. I’m a Top Rated full-stack developer with 100% Job Success, focused on SaaS products, automation systems, AI workflows, and production-ready web applications. My background includes SaaS development, e-commerce systems, AI workflows, scraping/data extraction, ERP automation, and production debugging. That mix helps me understand both the technical implementation and the business workflow behind it. I’m usually brought in by founders, small teams, and early-stage products that need practical execution: a short-sprint POC, a SaaS feature, a data workflow, an automation system, or an AI capability that needs to become real software quickly. I work across the full stack, with a strong focus on Supabase/PostgreSQL, Next.js, React, TypeScript, Node.js, Python, Stripe, Shopify, API integrations, OAuth flows, and AI/LLM systems. I’m a strong fit for projects such as: • Turning product requirements into working MVPs and POCs • Building Supabase/PostgreSQL-backed applications with auth, RLS, and clean data models • Creating web scrapers, data aggregation pipelines, deduplication logic, and structured output parsers • Integrating AI features such as RAG, chat workflows, image generation, voice agents, LiveKit and Retell AI • Connecting business tools through OAuth and APIs, including Google, Outlook, Trello, Asana, and Notion • Implementing Stripe checkout, subscriptions, webhooks, and access logic • Improving responsive design, frontend polish, page speed, and usability across devices • Building admin tools, CRM workflows, reporting interfaces, and internal dashboards I use AI development tools seriously, but I do not treat AI output as finished work. I still review the code, test edge cases, think through security, and make sure the system is maintainable after handoff. I’m best suited for clients who need a developer who can take ownership, work through ambiguity, and ship reliable software that survives real usage.

I am a Software Engineer specializing in enterprise data infrastructure and large-scale web automation systems. With 4+ years of engineering experience, I architect robust, maintainable data pipelines that power business intelligence at scale. 🎯 Core Competencies: • ETL Architecture: Designing production-grade data pipelines (Python/TypeScript) with automated validation, schema enforcement, and error handling • Anti-Detection Engineering: Bypassing enterprise-grade protections (Cloudflare, Akamai, DataDome) with 95-99% success rates • Data Infrastructure: Building distributed scraping architectures capable of handling 10M+ daily requests with auto-scaling, queue management, and real-time monitoring • Cloud Integration: Seamless data delivery to BigQuery, PostgreSQL, AWS S3, Snowflake, and data warehouses with optimized loading strategies 🛠 Technical Stack: • Languages: Python (Scrapy, AsyncIO), TypeScript/Node.js • Automation: Selenium Grid, Puppeteer Cluster, Playwright with stealth plugins • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks • Infrastructure: Docker, Kubernetes, Redis, RabbitMQ, rotating residential proxies • Storage: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage 💼 Ideal For: • Companies needing reliable, long-term data extraction infrastructure • ETL pipeline development and data warehouse integration • Complex automation requiring custom browser engineering • High-volume scraping requiring distributed worker architectures and SLA guarantees Why Enterprise Clients Choose Me: ✓ Engineering-First Approach: I write clean, documented, version-controlled code not brittle scripts ✓ Scalability by Design: Systems built to grow from thousands to millions of records without rewrites ✓ Data Integrity: Automated quality checks, deduplication, and schema validation at ingestion ✓ DevOps Ready: CI/CD integration, containerized deployments, and comprehensive logging

🔒 Most Web Scraping projects fail because anti-bot systems, hidden APIs, or complex JavaScript protect the data you need. I'm a Python Web Scraping engineer in the (🏆 Top 0.3% on Upwork  |  🥇 Top Rated Plus  |  💯 100% Client Satisfaction) who specialises in extracting data from websites and apps that actively resist being scraped. 📣 What I solve that others can't: — Sites protected by Cloudflare, DataDome, PerimeterX, or Akamai — JavaScript-heavy SPAs with dynamic rendering — Mobile apps with certificate-pinned APIs (Android & iOS) — Authenticated sessions, paginated data, and rate-limited endpoints — Undocumented hidden APIs reverse-engineered for faster, stable extraction 💥 What you get: — Clean, structured data in CSV, JSON, PostgreSQL, Google Sheets, or direct API — Fully automated pipelines deployed on AWS, VPS, or cloud with monitoring — Production-grade scrapers that don't break after a week 💬 Why clients come back: — 95+ projects completed with zero failed deliveries — If another freelancer says your site can't be scraped — send it to me first — I don't just deliver data, I deliver scrapers that keep working 🛠 Tech Stack ⤵ ✔️ Python ✔️ Scrapy ✔️ Playwright ✔️ Selenium ✔️ NoDriver ✔️ BeautifulSoup ✔️ lxml ✔️ PostgreSQL ✔️ AWS/VPS Deployment ✔️ Linux ✔️ Windows VPS 👥 Whom I Work With I work with startups, agencies, and enterprise teams building data products, competitive intelligence tools, or ongoing scraping infrastructure. 📩 Send me your target site or app. I'll respond within a few hours with a feasibility assessment, approach, and timeline — no obligation. Looking forward to helping you turn hard-to-get data into a competitive advantage.

🚀 Python Data Engineer | Web Scraping & Automation Expert | Data Extraction, ETL & GoHighLevel Need reliable data from websites, APIs, PDFs, documents, or online directories delivered directly into your CRM, database, or business workflows? I help businesses automate data collection, processing, and integration using Python-based solutions that are scalable, accurate, and built for long-term reliability. ✅ Services Web Scraping & Data Extraction * Web scraping, crawling, and data mining * Dynamic website scraping (JavaScript-heavy sites) * Data extraction from websites, APIs, PDFs, spreadsheets, and documents * Lead generation and web research * Scheduled and real-time data collection Data Processing & ETL * Data cleaning, validation, normalization, and enrichment * CSV, Excel, JSON, XML, and database exports * Custom ETL pipelines and workflow automation * Data deduplication and quality assurance Automation & Integrations * GoHighLevel (GHL) automation and CRM integration * REST & GraphQL API integrations * Workflow automation and data synchronization * Airtable, Google Sheets, and third-party platform integrations Databases & Cloud * MySQL, PostgreSQL, MongoDB, Firebase * AWS, Google Cloud, and DigitalOcean deployment * Automated data storage and pipeline monitoring ✅ Why Clients Work With Me ✔ Extensive experience across hundreds of scraping and automation tasks ✔ Expertise in Python, Scrapy, Selenium, Playwright, BeautifulSoup, and API integrations ✔ Clean, structured, production-ready data with validation and quality checks ✔ Experience handling large-scale scraping projects across thousands of pages and records ✔ End-to-end solutions from data extraction and processing to automation and CRM integration ✔ Focus on reliability, maintainability, and business outcomes rather than just collecting data 🔄 Typical Workflow Website / API / PDF → Data Extraction → Cleaning & Validation → Database / CRM → Automation & Reporting Whether you need a simple scraper, a large-scale data pipeline, lead generation system, GoHighLevel integration, or a fully automated workflow, I can help you build a solution that saves time and scales with your business. 💡 Let's discuss your project and turn manual processes into automated, reliable systems.