Hire the Best ETL Developers

I build and migrate enterprise data platforms on 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬, 𝐀𝐖𝐒, and modern AI infrastructure, turning fragmented data sources into reliable warehouses, intelligent automation systems, and production-ready AI applications that business teams can actually trust. Over the last decade I've architected data infrastructure, analytics platforms, and AI-powered systems for 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 (𝐘𝐥𝐨𝐩𝐨), 𝐓𝐞𝐥𝐞𝐜𝐨𝐦 (𝐎𝐨𝐫𝐞𝐝𝐨𝐨 𝐐𝐚𝐭𝐚𝐫), 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 (𝐒𝐢𝐦𝐩𝐥𝐞𝐝𝐂𝐚𝐫𝐝), 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 (𝐌𝐞𝐝𝐂𝐡𝐚𝐫𝐭), and 𝐑𝐞𝐭𝐚𝐢𝐥 (𝐌𝐢𝐥𝐥𝐢𝐨𝐧 𝐃𝐨𝐥𝐥𝐚𝐫 𝐁𝐚𝐛𝐲), integrating 700+ data sources into Snowflake, Redshift, Databricks Lakehouse, and AI-powered ecosystems that support thousands of daily users. → 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 • 𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐚𝐭𝐚 𝐒𝐭𝐚𝐜𝐤 Snowflake + Databricks + dbt + Airflow + Fivetran + AWS Glue for scalable, testable, version-controlled ELT pipelines. • 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Teradata, Oracle, SQL Server, Pentaho, Informatica → Snowflake, Redshift, Databricks, BigQuery. • 𝐄𝐓𝐋 / 𝐄𝐋𝐓 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 AWS Glue, Airflow, Informatica, Talend, Pentaho, Azure Data Factory, SSIS, Spark, PySpark. • 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 & 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞𝐬 Snowflake, Databricks, Redshift, BigQuery, Delta Lake, Unity Catalog, Dimensional Modeling. • 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Predictive Analytics, Forecasting, Classification, Recommendation Systems, MLOps, MLflow, SageMaker, TensorFlow, PyTorch, Scikit-Learn. • 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP, AI Agents, Autonomous Workflows, Multi-Agent Systems. • 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Vector Databases, Pinecone, Weaviate, Qdrant, ChromaDB, Supabase Vector, Enterprise Knowledge Bases, Semantic Search. • 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Vapi, Retell AI, ElevenLabs, Twilio, Voice Agents, AI Call Centers, Lead Qualification Systems. • 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 n8n, Make, Zapier, HubSpot, Salesforce, GoHighLevel, CRM Automation, Workflow Automation. • 𝐁𝐈 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Power BI, Tableau, Sigma, Looker, Grafana, Executive Dashboards, Self-Service Analytics. • 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Great Expectations, dbt Tests, CI/CD, Data Validation Frameworks, Monitoring & Alerting. → 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Snowflake, Databricks, Redshift, BigQuery, Delta Lake, Unity Catalog 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: dbt, Airflow, AWS Glue, Informatica, Talend, Pentaho, Fivetran, Kafka, Spark, PySpark 𝐀𝐈 / 𝐋𝐋𝐌𝐬: OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier, HubSpot, Salesforce, GoHighLevel 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, Weaviate, Qdrant, ChromaDB, pgvector, Supabase Vector 𝐂𝐥𝐨𝐮𝐝: AWS, Azure, GCP, Docker, Kubernetes, Terraform 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, SQL, PySpark, JavaScript, TypeScript, Java, C# 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, DynamoDB → 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 • Reduced enterprise ETL runtimes from 6+ hours to under 45 minutes through cloud-native data architectures. • Built Snowflake + dbt + Airflow ecosystems integrating 120+ data sources powering executive dashboards and AI-driven decision systems. • Delivered real-time MLS ingestion platforms processing data from 500+ providers and supporting AI-powered marketing systems. • Built AI voice agents capable of automated lead qualification, appointment booking, and customer engagement. • Developed RAG systems that transformed thousands of documents into searchable enterprise knowledge platforms. • Implemented AI workflow automation that reduced manual operations by up to 80% across sales, support, and operations teams. → 𝐈’𝐦 𝐀 𝐒𝐭𝐫𝐨𝐧𝐠 𝐅𝐢𝐭 𝐈𝐟 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝 • Snowflake or Databricks implementation from scratch • Legacy ETL modernization and cloud migration • Data warehouse or lakehouse architecture • AI Agents and business process automation • RAG applications and enterprise knowledge systems • Voice AI solutions and conversational agents • n8n or Make workflow automation • Machine learning pipelines and MLOps • A senior data engineer or AI engineer to lead delivery and mentor internal teams 📩 Message me with a short description of your data stack, AI initiative, or business process challenge, and I'll provide a candid assessment of scope, architecture, timeline, and the best path forward.

With 5+ years of experience in Data Engineering, Web Scraping, and Backend System Maintenance, I specialize in taking over existing, complex, and sometimes undocumented systems and making them stable, faster, and production-ready. Unlike developers who prefer building from scratch, I focus on understanding real-world systems in production, identifying weak points, and improving them without breaking existing workflows. My strength is in working with messy, high-pressure codebases where reliability and speed matter most. 💡 What Makes Me Different Most engineers build new systems. I specialize in fixing and improving existing ones under real production constraints. I quickly analyze scraping pipelines, backend services, and databases to identify: * Why scrapers break when websites change * Where performance bottlenecks occur in data pipelines * How backend/admin systems can be stabilized without downtime * How to make systems resilient instead of fragile 💡 Core Expertise Production Scraping Systems: Experienced in maintaining large-scale scrapers built with Scrapy, Selenium, and Playwright. I focus on fixing broken extraction flows, handling anti-bot changes, and ensuring continuous data flow. Backend & System Debugging: Strong experience working with FastAPI, Django, Flask, PHP-based admin panels, and MySQL systems. I specialize in debugging existing codebases, not just writing new APIs. Data Pipeline Stability: I improve ETL processes using Python and SQL, ensuring data consistency, error handling, and smooth synchronization between scrapers, databases, and admin tools. System Optimization (Real-World Focus): Instead of rewriting systems, I optimize what already exists—reducing failures, improving speed, and making infrastructure more maintainable. 🛠️ Tech Stack Python | Scrapy | Selenium | Playwright | BeautifulSoup FastAPI | Django | Flask | PHP MySQL | PostgreSQL | Redis Pandas | Basic ETL Pipelines | Docker AWS (EC2, S3 basics) ✨ What You Get Working With Me * Fast diagnosis of broken scrapers and backend issues * Stability improvements without disrupting production * Cleaner, more maintainable existing codebases * Reduced downtime and scraping failures * Practical fixes instead of over-engineering I work best in environments where systems are already live and need careful, intelligent improvement rather than rebuilds. If you’re looking for someone who can step into an existing architecture, understand it quickly, and make it stronger I’d be glad to help.

👋 I’m Jahanzaib, a Web Scraping & Data Extraction Specialist with experience building fast and reliable scrapers using Python, Scrapy, Selenium, and Playwright. I deliver clean, structured data for data mining, lead generation, and also build Django dashboards to visualize and analyze the data efficiently. ⭐ What I Deliver ✅ Clean, structured, and ready-to-use datasets from any website ✅ Automated web scraping and data extraction pipelines (daily/weekly) ✅ Accurate data mining and data scraping at scale with proxy rotation & anti-bot bypass ✅ Lead generation data including emails, contacts, listings, pricing, and market trends ✅ Reliable data entry and processing for large datasets ✅ Custom Django dashboards to visualize and manage scraped data ⚡ Technical Strengths ⚡ CAPTCHA solving & anti-bot mitigation (2Captcha, OCR, smart retries) ⚡ Proxy rotation: residential, datacenter, and mobile for large-scale web scraping ⚡ Login automation, session handling, and authenticated data extraction ⚡ Rate-limiting, headless browsers, and fault-tolerant web crawlers ⚡ CSV/Excel/API outputs and cloud automation for data scraping pipelines 🔹 What I Can Scrape 🔹 E-commerce platforms (products, prices, competitors) 🔹 Real estate websites (properties, listings, trends) 🔹 Automotive listings (leads, inventory, market research) 🔹 B2B directories & lead generation websites 🔹 Custom portals, dashboards, and structured data sources 🚀 Let’s Work Together I provide professional web scraping, data extraction, data mining, web crawlers, lead generation, and automated data scraping pipelines. I can also build Django dashboards to display your data in a clean and actionable format. Share your requirements, and I’ll deliver accurate, timely, and structured data that helps your business grow.

Data Engineer specializing in Python ETL pipelines for cloud data warehouses. I build automated data engineering solutions processing millions of records daily, from real-time trading data to healthcare analytics. With over 6 years of experience, I have developed production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks. I architect data engineering solutions that handle schema changes, ensure data quality, scale with demand, and prevent 3 AM pipeline emergencies. DATA ENGINEERING & ETL EXPERTISE ETL Pipeline Development & Data Engineering I design scalable ETL pipelines and data engineering infrastructure using Python with Apache Airflow or Dagster. My solutions include automated error handling, data validation, and comprehensive monitoring. Cloud Data Engineering (GCP & AWS) I build cloud-native data engineering solutions and ETL pipelines on modern platforms: GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub AWS: Redshift, Glue, Lambda, S3, Kinesis Enterprise Data Warehouse Migration Reduced ETL processing time by 60% moving to GCP. Python Data Engineering & Pipeline Orchestration Python expert for data engineering and ETL development. I implement robust data workflow orchestration using Apache Airflow and Dagster with pipeline monitoring for data quality and reliability KEY DATA ENGINEERING & ETL PROJECTS - Election Data Pipeline: Python + Dagster solution extracting campaign finance data, automating 40 hours/week of manual processing. - Real-Time Trading Pipeline: Multi-layer architecture for algorithmic trading, achieving <100ms latency and 100% uptime. - Healthcare Data Migration: Led enterprise ETL migration to GCP BigQuery, resulting in 60% faster processing and 50% better performance. - ML Feature Engineering: Built end-to-end data pipeline for AirAsia's recommendation system, processing millions of records and increasing engagement by 25%. - Web Scraping ETL: Automated solution combining scraping with warehousing using Python and Apache Airflow. - AWS Cloud System Stabilization: Enhanced stability and performance of AWS-based systems, focusing on S3, Lambda, and webhook integrations. - Manufacturing Data Platform Expansion: Supported and expanded a manufacturing data platform with SQL Server, Azure SQL, and ERP data mappings. DATA ENGINEERING TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt Languages: Python (Expert), SQL (Expert) Cloud Platforms: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, MongoDB, BigQuery, Redshift, Snowflake Python Libraries: Pandas, PySpark, SQLAlchemy, Apache Beam Infrastructure: Terraform, Docker, Kubernetes, CI/CD IDEAL PROJECTS ETL pipeline development from scratch (Python, Airflow, cloud platforms) Data warehouse engineering and cloud migration (BigQuery, Redshift, Snowflake) Real-time data engineering and streaming ETL implementation Legacy ETL modernization and data pipeline migration Web scraping data engineering with ETL workflows Data integration connecting multiple sources ML data pipeline engineering for feature engineering LET'S BUILD YOUR DATA ENGINEERING SOLUTION Available for fixed-price data engineering projects and long-term ETL contracts. I work across US, European, and Asian time zones (GMT+7). Ready to discuss your data engineering and ETL needs? Send me a message. I respond within 2 hours during business hours.

🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration