Hire the Best ETL Developers

I build production AI agents that connect to your real data and systems not notebook demos. If you need an agent that takes real actions and holds up under real use, that's what I do. I'm an AI Agent Developer specializing in LangChain, RAG, and Python backends. My edge is that I don't just wire up a mode I build the full system around it: the agent logic, the retrieval layer, the API, and the database that make it reliable in production. Most AI agents break the moment they leave the demo. Mine are built to run. What I build for clients: AI agents with tool-calling that take real actions querying databases, hitting APIs, processing documents not just chatting RAG systems that answer accurately from your own documents, PDFs, and knowledge bases, with the chunking, embeddings, and vector search done properly so they don't hallucinate LLM pipelines that extract, classify, and validate unstructured data at scale, with Pydantic enforcing structure so the output is trustworthy The production backbone: FastAPI backends, PostgreSQL databases, and clean REST APIs that make the whole system stable and maintainable How I work: I consult first, then build. Before writing code, I want to understand your actual workflow and where it's breaking then map a clear, phased plan. This avoids the rework and delays that come from jumping straight into execution. You'll always know what's being built and why. Recent work: Delivered an LLM agent orchestration system for a client who needed an Agent completed on time, and rated 5 stars Engineered an automated tax-compliance pipeline using Azure AI Document Intelligence and Python that replaced (40 hours/week) of manual form processing with a single-click verification system Built a secure, end-to-end digital examination platform for NASTP (National Aerospace Science & Technology Park), handling 100+ concurrent sessions and eliminating manual grading workflows My stack: AI/LLM: LangChain · LangGraph · RAG · AI Agents · Tool-Calling · Prompt Engineering · OpenAI & Azure OpenAI · Vector Databases (Pinecone, Chroma, FAISS) Backend: Python · FastAPI · REST APIs · Pydantic · Docker Data: PostgreSQL · SQLAlchemy · ETL Pipelines · Web Scraping If you're building an AI agent, automating a document-heavy workflow, or need an LLM system that works in production and not just in testing invite me to your job or send a message. I respond within 4 hours.

Most freelancers can scrape a website. Or write a basic script. I build end-to-end data pipelines that don't break. You get clean, production-ready data on autopilot, without managing a team of developers. I'm a 𝗣𝘆𝘁𝗵𝗼𝗻 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 with 7+ years building automated, high-scale extraction systems. I help businesses pull, clean, and structure web data so they can track competitors, capture leads, and run operations on data they can trust. 𝗪𝗛𝗔𝗧 𝗜 𝗖𝗔𝗡 𝗛𝗘𝗟𝗣 𝗬𝗢𝗨 𝗪𝗜𝗧𝗛 🔹 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 Pull data from complex, JavaScript-heavy sites, directories, marketplaces, and single-page apps. I handle anti-bot systems, Cloudflare, CAPTCHAs, custom login states, infinite scroll, and rotating residential proxies, using Scrapy, Playwright, and Selenium. 🔹 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 Turn raw, messy data into structured pipelines. I clean, validate, normalize, and parse difficult formats, including automated large-scale PDF-to-CSV extraction, with Python and Pandas. 🔹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 Hand off data structured and deployment-ready. Streaming or scheduled delivery straight into CSV, Excel, Google Sheets, PostgreSQL, MySQL, MongoDB, or a custom REST API. 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦 ✓ Built extraction pipelines that convert dense, standardized PDF bundles into clean CSVs for large-scale client delivery. ✓ Developed high-frequency Scrapy and Playwright crawlers that bypass advanced anti-bot protection on heavily restricted domains. ✓ Set up scheduled automation with custom logging and retry logic that cleans and appends live web feeds around the clock. 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗣𝗔𝗥𝗧𝗡𝗘𝗥 𝗪𝗜𝗧𝗛 𝗠𝗘 ✔ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆 𝗖𝗼𝗱𝗲: Clean, modular architecture your team can maintain after the project ends. ✔ 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆 𝗙𝗶𝗿𝘀𝘁: Exception handling and structural validation, so you don't get corrupt data. ✔ 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲𝘀: Realistic delivery dates mapped to the actual technical constraints. ✔ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗙𝗼𝗰𝘂𝘀: Software that runs in the background so you can scale. Working on a project involving web scraping, data harvesting, or complex ETL? Message me with your target source and we'll scope it out.

🏆 Top Rated Freelancer on Upwork 👋 I'm Jahanzaib, a Web Scraping, Data Extraction & Automation Specialist with over 5 years of experience building fast, scalable, and reliable scraping solutions using Python, Scrapy, Selenium, and Playwright. I help businesses automate data collection, build ETL pipelines, and transform raw web data into clean, structured datasets for lead generation, market research, competitor monitoring, AI training, and business intelligence. I also develop Django dashboards and automation tools to manage, visualize, and analyze scraped data efficiently. ⭐ What I Deliver ✅ Custom web scrapers for static/dynamic and JavaScript-heavy websites ✅ Automated web scraping, data extraction, and ETL pipelines with daily, weekly, or real-time scheduling ✅ Clean, validated, and structured datasets ready for analysis or integration into your systems ✅ Lead generation data including emails, phone numbers, business contacts, pricing, listings, and market insights ✅ API integration, hidden API extraction, and browser automation ✅ Custom Django dashboards and admin panels for managing scraped data ⚡ Technical Expertise ⚡ Python, Scrapy, Selenium, Playwright, BeautifulSoup, Requests, and Asyncio ⚡ CAPTCHA solving, Cloudflare bypass, proxy rotation, and anti-bot mitigation ⚡ Login automation, session management, authenticated scraping, and JavaScript rendering ⚡ AWS (EC2, S3), Docker, Linux, Scrapyd, Cron Jobs, and scheduled automation ⚡ Data cleaning, transformation, validation, deduplication, and database integration (PostgreSQL, MySQL, MongoDB) ⚡ Export data in CSV, Excel, JSON, XML, Google Sheets, SQL databases, or REST APIs 🔹 Industries & Data Sources 🔹 E-commerce, Retail & Marketplace Platforms 🔹 Real Estate & Property Portals 🔹 Automotive & Vehicle Listings 🔹 Maps, Business Directories & Location-Based Platforms 🔹 Job Boards & Recruitment Platforms 🔹 Financial, Healthcare, Travel & Custom Web Portals 🚀 Why Work With Me? ✔ Top Rated Freelancer with a proven record of delivering high-quality results ✔ Clean, maintainable, and scalable scraping solutions ✔ Reliable communication and on-time delivery ✔ Long-term scraper maintenance and support as websites evolve ✔ Production-ready automation built for accuracy, reliability, and scale Whether you need a one-time scraping project, a large-scale data extraction system, or a fully automated cloud-based ETL pipeline, I'm committed to delivering reliable, high-quality solutions tailored to your business needs. Let's discuss your project and build a solution that saves you time and delivers actionable data.

If your Power BI reports are broken, your data isn’t trustworthy, or you need a BI system built properly from scratch, you've come to the right place. Most Power BI freelancers stop at pretty visuals. I fix what’s broken underneath. 🔧 I’m Muhammad Amir Khan, a Data & BI Team Lead and Senior Business Intelligence Engineer with 7 years of experience building Power BI solutions that executives actually trust and use. While most developers focus only on dashboards, I work from the data layer upward: source-level cleanup, Power Query transformations, semantic modeling, advanced DAX, Row Level Security, refresh, deployment, governance, and performance optimization. Currently, I lead the Data & BI function for a $20M ARR aviation company in the Middle East, where I’ve built 15+ production Power BI dashboards that eliminated 90%+ of spreadsheet-based reporting for executive leadership. 💡 What I Do Best Power BI Rescue & Optimization If your report has incorrect totals, duplicate rows, slow refreshes, broken DAX, RLS issues, or numbers that don’t match the source data, I diagnose and fix it. Common issues I solve: • Duplicate rows and grain mismatches • Broken DAX and incorrect aggregations • Refresh failures and performance bottlenecks • RLS not filtering correctly • Timezone and date logic inconsistencies • Dashboard data not matching source data These are the problems most freelancers struggle to isolate. End-to-End BI Solutions I build complete BI systems, not just reports. From business requirements through data modeling to executive dashboards, I create scalable single sources of truth. Recent example: built QualDerm Partners’ Triage & Referral Dashboards with 30+ DAX measures on Snowflake, including full semantic model documentation. Advanced DAX & Data Modeling • Context transition, time intelligence, and debugging • Field Parameters and dynamic reporting • Row Level Security across multi-entity structures • Star schema design from messy operational data • Performance optimization for large models Multi-Source Data Consolidation I unify data from: • Excel files, SharePoint lists, and document libraries • Azure SQL, SQL Server, and on-prem databases • REST APIs and SaaS connectors • BigQuery, Snowflake, and Fabric • Power Query ingestion with proper refresh and error handling 🛠️ Technical Stack • Power BI: DAX, Power Query, RLS, Field Parameters, DirectQuery, Deployment Pipelines, Power BI Service, Governance, Security • Data: SQL, BigQuery, Snowflake, PostgreSQL, MySQL • Engineering: Python, Pandas, NumPy, ETL/ELT, Airbyte, Git, REST APIs, AWS, GCP • Visualization: Power BI, Looker Studio • Modeling: Star Schema, Semantic Modeling, Data Warehouse Design, Dimensional Modeling • Certifications: PL-300 | DP-600 in progress 📊 Real Client Outcomes The Helicopter Company Built 15+ Power BI dashboards with RLS and DirectQuery, replacing 90%+ of spreadsheet reporting and giving leadership real-time visibility into mission-critical KPIs. QualDerm Partners Built Triage, Call Center, and Referral dashboards with 30+ advanced DAX measures, full semantic documentation, and ongoing refresh in Power BI Service. Raus Diagnosed a 25% KPI variance caused by API changes, rebuilt Power Query pipelines, and reconciled numbers back to source with a documented validation pack. Munchies Optimized dispatch analytics, reducing delivery time by 15%. GoMotive Built telemetry and reliability dashboards that helped engineering teams drive a 25% reduction in product error rates. 🎯 Who I Work Best With You’re a strong fit if you: • Have a Power BI report with wrong numbers or broken logic • Need a complete BI solution from data to dashboard • Are migrating from Excel, Tableau, Looker, or other tools to Power BI • Need advanced DAX, RLS, performance optimization, or governance • Want a fractional BI lead for 10–20 hours per week I work primarily with mid-market companies across the US, UK, Australia, and Europe. 🤝 How I Work I diagnose problems live on discovery calls instead of relying on long questionnaires. I communicate in plain English unless you want technical depth, and I focus on building systems that are accurate, scalable, and actually used. 🚀 If your Power BI reports are broken, your data isn’t trustworthy, or you need a BI system built properly from scratch, reach out and let’s discuss your project.

I help businesses build reliable ETL pipelines, automate data workflows, and develop Python backend solutions that are scalable, efficient, and easy to maintain. I'm a Python Data Engineer with 4+ years of experience working with healthcare and utility organizations. I've built ETL pipelines, automated business processes, designed databases, developed backend applications, and created reporting solutions that help businesses process data more efficiently and reduce manual work. My expertise includes Python, PostgreSQL, SQL Server, ETL development, workflow automation, Django, Flask, FastAPI, REST APIs, data processing, web scraping, and database design. Here's how I can help: • Build ETL pipelines to extract, transform, and load data from APIs, databases, Excel, CSV, PDFs, and websites • Design, optimize, and maintain PostgreSQL and SQL Server databases • Develop secure and scalable backend applications using Python, Django, Flask, or FastAPI • Build REST APIs and integrate third-party services • Automate repetitive business processes using Python • Clean, transform, validate, and process large datasets for reporting and analytics • Build reporting systems and data processing solutions for business operations • Develop automation scripts for data extraction and workflow management I focus on writing clean, well-structured, and maintainable code that performs reliably in production. Whether I'm building a new system or improving an existing one, my goal is to deliver solutions that are scalable, efficient, and easy to support over time. I believe good communication is just as important as good code. I keep clients updated throughout the project, deliver work on time, and always aim to build long-term working relationships. If you're looking for someone who can build reliable ETL pipelines, automate workflows, optimize databases, or develop Python backend applications, I'd be happy to discuss your project and help you find the right solution.

The reason your AI project is stuck probably isn't the AI. It's the seam between the model, the data feeding it, and the app around it, and that seam is exactly where most engineers tap out, because they only do one of the three. That seam is where I'm strongest. I'm a senior engineer who works across AI, data, and full-stack, and the jobs I get pulled into are the ones where a smart idea or a half-built prototype needs to become something real that holds up with actual users on it. A few things ten years of this teaches you. The hard part of an AI agent isn't the model, it's the termination logic that stops a loop before it burns your budget at 2am, and the line between what the agent does on its own and what a human sees first. The hard part of a data project isn't the pipeline, it's that five systems each define "customer" differently, so the CEO asks one question and gets five answers. And the hard part of inheriting a six-year-old codebase is that the reasons live in one person's head, which is why the original estimate triples the moment you start. I design around all three because I've been burned by all three. What I actually do: AI / ML — LLM and agent development (tool-use agents, production RAG over your data, AWS Bedrock, Claude, OpenAI, LangChain), classical and predictive ML, forecasting, reinforcement learning for sequential decisions, model development, fine-tuning, and AI integration into existing products. Built to production standards, not notebook demos. Data — warehouse and lakehouse architecture, ETL/ELT, dbt, BigQuery, SQL and NoSQL, data modeling, and the analysis and BI layer (Power BI, dashboards, reporting executives actually trust). The full path from raw data to a number someone can make a decision on. Full-stack — React, Next.js, Node.js, Python (Django, FastAPI), AWS, Docker, CI/CD. MVPs that ship in weeks, enterprise systems that don't fall over, and takeovers of code nobody documented. The common thread: I build the thing that runs on Monday and still runs the Monday after, not the demo that wins the meeting and breaks in week three. Got an idea, a stalled build, or an AI feature that works in testing and scares you in production? Message me with "IDEA" and tell me what you're building. You'll get a free 30-minute audit and a straight plan, plus the specific failure modes most developers don't see coming, the ones that cost almost nothing to design around now and a painful rebuild once they're baked in. Better to spot them before you build than after.