Hire the Best BigQuery Developers
in Indonesia

Most businesses have plenty of data, but turning it into actionable insights is often the real challenge. Teams often switch between spreadsheets, dashboards, databases, CRMs, and multiple platforms just to understand what is happening in their business. This leads to inefficient workflows, delayed decisions, and hours of manual work every week. That’s where I can help. I’m Masmur, a BI Analyst & Automation Developer with experience in business intelligence, reporting automation, marketing analytics, full-stack development, and technical operations. My expertise includes: • Looker Studio dashboards and reporting • LookML data modeling and enterprise analytics • SQL data analysis and reporting • Python automation and reporting workflows • Google Analytics 4 (GA4) implementation and reporting • Google Tag Manager (GTM) setup and event tracking • Kajabi integrations and marketing automation • Zapier workflow automation and API integrations • Laravel, React, and Node.js application development • Tailwind CSS frontend implementation • BigQuery, Google Sheets, spreadsheets, and databases • Server management and cloud deployment What I can help with: • Build executive and operational dashboards • Create centralized reporting from multiple data sources • Design data models and reporting structures • Implement Google Analytics 4 (GA4) and Google Tag Manager • Configure Kajabi tracking, forms, and marketing integrations • Build Zapier automations connecting apps and business workflows • Automate manual reporting and repetitive workflows • Analyze business performance and identify trends • Develop full-stack web applications using Laravel, React, and Node.js • Build backend systems, APIs, and internal business tools • Deploy and maintain web and mobile applications • Improve existing dashboards, applications, and reporting processes Recent projects: • Built reporting solutions using Looker Studio, BigQuery, Python, and SQL for business analytics • Configured Google Analytics 4 (GA4), Google Tag Manager, and conversion tracking • Integrated Kajabi forms, UTM tracking, and Zapier automation workflows • Automated reporting workflows and data processing using Python • Developed backend systems, APIs, and integrations using Laravel • Managed cloud servers, deployments, and production environments • Enhanced existing web applications and implemented new features • Supported deployment and release processes for iOS and Android applications • Assisted with technical operations, troubleshooting, and system maintenance across multiple projects Because I combine business intelligence, analytics implementation, marketing automation, software development, and technical operations, clients often don’t need separate specialists for dashboards, GA4 tracking, automation, backend development, and deployment. If you’re looking for someone who can build dashboards, implement GA4, configure Google Tag Manager, automate Kajabi workflows, integrate Zapier, develop web applications, or improve your reporting processes, I’d be happy to discuss your project. Looking forward to working with you.

Software Engineer with 4+ years of engineering experience specializing in enterprise data infrastructure and large-scale web automation systems. 🎯 Core Competencies: • Agentic Workflows & AI Automation: Architecting complex, stateful multi-agent systems using LangGraph, CrewAI, and n8n. Designing self-healing loops, autonomous error recovery, and tool-calling validation pipelines with exceptional reliability. • Multimodal AI Vision & Agentic OCR: Implementing cutting-edge visual parsers (LlamaParse, Docling, GPT-4o Vision, Azure AI Document Intelligence) to extract schema-compliant JSON data from visually dense documents, complex tables, and unseen invoice layouts. • Anti-Detection Engineering & AI-Bypass: Bypassing enterprise security barriers (Cloudflare, Akamai, DataDome), TLS/HTTP2 fingerprint matching, and rotating residential proxy routing. • Production-Grade Data Infrastructure: Engineering highly scalable, distributed scraper fleets capable of handling over 10 million daily requests without performance degradation or IP bans. • Enterprise ETL & Integration: Delivering structured data directly to BigQuery, PostgreSQL, AWS S3, Snowflake, and vector databases with real-time anomaly detection. 🛠️ Technical Stack: • AI & Orchestration: LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain, OpenAI/Claude APIs. • Automation & Scraping: Python (Scrapy, AsyncIO), Playwright, Puppeteer Stealth, Selenium Grid, Bright Data Agent Browser. • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks. • Platforms & Workflow Tooling: n8n, Make .com, Docker, Kubernetes. • Infrastructure & Message Queues: Redis, RabbitMQ, Rotating Residential Proxies. • Databases & Vector Stores: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage, FAISS, Pinecone. 💼 Ideal For: • Enterprise operations seeking to automate repetitive back-office tasks, financial document parsing, or complex manual reviews using AI Vision. • Market intelligence agencies requiring highly reliable, long-term web data harvesting pipelines under strict SLA guarantees. • Product teams building RAG-based systems requiring continuous, high-quality, pre-parsed markdown data feeds from dynamic web sources . • Organizations deploying multi-agent swarms requiring production monitoring, comprehensive logging, and enterprise security.

***I'M AVAILABLE*** Data Analytics professional experienced from Data Analyst to Business Intelligence Manager for the last 10 years. I believe that all repetitive administrative task can be done by a machine. I can help you to automate your workflow then you can work for other valuable things. I love to gather knowledge and create an insightful data visualization in the form of anything (Tableau, Power BI, Google Data Studio, Microsoft Excel, Google Sheets, Microsoft Powerpoint, etc.). My expertise: 🔄 Spreadsheet Automation & Optimization 🛠️ Building Custom Solutions 📊 Data Analysis & Visualization (Charts and Dashboards) 🧩 Data ETL (Extraction, Cleansing, Manipulation, Processing, Transformation) 📈 Building Reports, Modeling, Calculators (Accounting, Finance, Sales, Marketing, Performance, HR, CRM, etc.) 🧮 Advanced Formulas & Functions ⚙️ Google Apps Script & Macros 🌐 Web Scraping and Parsing 🛜 API Integration Hire me!

AI Automation Consultant & Architect | n8n Ambassador | Claude for Business Specialist Businesses don't hire me to "build workflows." They hire me to increase ROI, reduce manual workload, and engineer automation systems that make their operations run 10× smoother. I'm the n8n Ambassador for Indonesia and a soon to be Claude Certified Architect (invite-only certification from Anthropic for enterprise AI implementation) meaning I don't just automate processes, I architect the full AI layer of a business: from workflow automation to deploying Claude as an intelligent operator across your entire operation. What I specialize in: - Building AI-powered automation systems (agents, copilots, RAG pipelines) - Designing production-ready n8n workflows that scale - Setting up and deploying Claude for Work & Business (enterprise AI implementation) - Integrating APIs, CRMs, databases, and messaging tools - Corporate AI automation training (teams, leadership, and 1-on-1 private sessions) - Optimizing business processes for speed, cost reduction, and measurable clarity What clients get from me: - Clear architecture before building — no surprises mid-project - Clean, modular, well-documented systems - Fast communication and proactive problem-solving - Measurable efficiency gains: hours saved, costs cut, operations simplified Whether you need a production-grade automation stack, an AI agent running inside your business, or a team that actually understands the tools they're using. I can build it, deploy it, and train your people on it. Keywords: n8n automation, n8n Ambassador, AI agent builder, Claude for Business, Claude enterprise setup, workflow automation, AI automation training, corporate AI training, API integrations, RAG pipeline, vector database, Qdrant, Supabase, Airtable automation, Google Sheets automation, business automation consultant, operations automation, AI workflow engineer, SaaS automation, CRM automation, Zapier migration to n8n, automation architect, backend automation.

Over the past 7+ years, I've partnered with ecommerce brands and marketing teams to solve complex data challenges: whether that's building reliable pipelines, cleaning up messy datasets, or creating dashboards that actually get used. ⭐⭐⭐⭐⭐ These are some project types that I usually worked on: - Data Cleaning and Preparation - Data Analysis and Exploration - A/B Testing/Experiment - Statistical Analysis - Creating Data Visualizations - Creating Dashboards/Reports - Data Ingestion - Data Modelling/Transformation - Data Pipeline/ETL/ELT - Data Infrastructure - Machine Learning, etc. ⭐⭐⭐⭐⭐ Experienced in lots tools and technologies, such as: - Orchestration tools such as Airflow, Dasgter - Data ingestion in Airbyte, Dlthub, Dataflow, Pub-Sub, Kafka - Data Warehousing BigQuery, Snowflake - Data Transformation in DBT or Dataform - Data Visualization in Metabase, Looker Studio, Superset, or Tableau - Deep Analytics using languages like SQL, Python, or R - Also Git & Bash Skills - Ads platforms like Facebook/Meta ads, Google ads - Experience with GTM, Meta Pixel, and Google Tags - Ecommerce tools like shopify, klaviyo, customer io and recharge If you have a challenge, feel free to reach out to me.

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 — and increasingly the AI/RAG pipelines that sit on top of them. With 6+ years of experience, I design production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks: schema-change handling, data quality checks, and monitoring that means no more 3 AM pipeline pages. WHAT I DO ETL Pipeline Development I design scalable pipelines in Python with Airflow or Dagster — automated error handling, data validation, and monitoring built in from day one, not bolted on after the first outage. Cloud Data Engineering (GCP & AWS) GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub AWS: Redshift, Glue, Lambda, S3, Kinesis Data Warehouse Migration Migrated a legacy warehouse to GCP, cutting ETL processing time by 60%. AI/LLM Data Pipelines Retrieval-augmented generation (RAG) pipelines — document ingestion, chunking, vector search, and streaming LLM responses — for teams that need their data pipelines to feed an AI product, not just a dashboard. KEY PROJECTS - Election Data Pipeline — Python + Dagster + ClickHouse pipeline extracting campaign finance data, automating 40 hours/week of manual work. - Real-Time Trading Pipeline — Multi-layer architecture for algorithmic trading with <100ms latency and 100% uptime. - Healthcare Data Migration — Led an enterprise ETL migration to GCP BigQuery, cutting processing time by 60%. - ML Feature Engineering (AirAsia) — End-to-end pipeline feeding a recommendation system, processing millions of records and lifting engagement 25%. - AI Document Chat (RAG) — Built a local/cloud retrieval-augmented generation app (Python, ChromaDB, FastAPI/React) supporting both local (Ollama) and cloud (Anthropic, OpenAI) models, with streaming answers and live web-search augmentation. See portfolio. - Web Scraping ETL — Automated scraping-to-warehouse pipeline in Python and Airflow. - AWS Cloud Stabilization — Improved stability and performance of AWS systems: S3, Lambda, and webhook integrations. - Manufacturing Data Platform — Extended a manufacturing data platform across SQL Server, Azure SQL, and ERP data mappings. TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt AI/LLM: RAG pipelines, vector databases (ChromaDB, Pinecone), OpenAI/Anthropic APIs Languages: Python (expert), SQL (expert) Cloud: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, ClickHouse, MongoDB, BigQuery, Redshift, Snowflake Python: Pandas, PySpark, SQLAlchemy, Apache Beam Infra: 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 / streaming data engineering - Legacy ETL modernization - RAG and AI data pipeline engineering - Data integration across multiple sources - ML feature-engineering pipelines Available for fixed-price projects and long-term contracts. I work across US, European, and Asian time zones (GMT+7) and respond within 2 hours during business hours.