Hire the Best GlobiFlow Specialists

I build automated reporting systems that replace hours of manual work with reliable. Here's examples of what I done for clients. Reduced 40+ hours/month of manual reporting for an outdoor hospitality group by building a fully automated pipeline that ingests data from PMS → BigQuery → Looker Studio. Developed a payroll processing data pipeline that processes $42,500/month in bonus payments, cutting manual payroll processing work by 23 hours per week while increasing payroll accuracy. Google Sheets API → Python ETL Pipeline → Looker Studio Created an automated pipeline that sends weekly PDF reports to enterprise clients for an industrial automation company. API Ingestion → BigQuery → Make Automated PDF Generation → SendGrid Email Delivery If your team is still exporting spreadsheets and manually building reports, I can fix that. 📊 What I Build I specialize in end-to-end automated reporting systems for B2B companies in SaaS, hospitality, marketing agencies, fintech, and training platforms that need to deliver recurring reports to clients without the manual overhead. 🔄 Automated Data Pipelines I connect APIs, databases, and platforms (including PMS systems like NewBook and Cloudbeds) into centralized data warehouses like BigQuery using Python. Pipelines are orchestrated with Dagster and designed with monitoring, alerting, and CI/CD pipelines using GitHub Actions for reliability. 🧠 Clean, Reliable Data Models Using dbt or Python, I transform raw data into structured, client-ready metrics with version control, testing, and documentation so your reporting logic is transparent, scalable, and accurate. 📈 Live Dashboards (Always Up-to-Date) I build Looker Studio dashboards connected directly to BigQuery, so your clients and team always see live, accurate data without manual refreshes or outdated reports. 🏗️ Tech Stack **Cloud & Data:** Google Cloud Platform, Azure, BigQuery, Cloud Storage **Transformation & Orchestration:** dbt, Dagster, Python **CI/CD & Infrastructure:** GitHub Actions, pipeline automation **Visualization:** Looker Studio, Power BI **Automation:** Make, n8n, Airtable **Integrations:** Google Ads, Meta, GA4, APIs, PMS systems (NewBook, Cloudbeds) **Delivery:** SendGrid, Twilio 🎯 Who I Work With I work best with B2B companies that: * Deliver recurring reports to clients * Spend hours manually building or sending reports * Struggle with inconsistent or error-prone data * Need a scalable reporting system as they grow If you're manually exporting data, updating spreadsheets, or relying on analysts for repetitive reporting work, I’ll replace that with a system that runs automatically. 🤝 How I Work I focus on building systems that are: * Reliable (monitored, tested, and automated) * Scalable (built to grow with your business) * Cleanly structured (no fragile hacks or shortcuts) * Easy to maintain (documented and production-ready) You won’t get a quick fix. You’ll get a system designed to work long-term. 📁 Portfolio & Experience Real examples of pipelines, dashboards, and automation systems available upon request. Let’s Automate Your Reporting If you want to eliminate manual reporting, improve accuracy, and deliver better insights to your clients, let’s build a system that does it automatically. 📩 Send me a message and we’ll map out your reporting pipeline.

Professional Objective My professional objective is to continue strengthening my career in data analysis, business intelligence, and automation by combining operational experience with technical execution in real-world projects involving visualization, data migration, ETL, and information integration. I have evolved from managing technical and administrative field processes to developing solutions focused on improving data quality and decision-making. I am looking for opportunities where I can apply and further strengthen my skills in Excel, SQL, Python, Power BI, Looker Studio, and data modeling, contributing clear, scalable, and business-aligned solutions. My profile is defined by self-directed learning, discipline, adaptability, and the ability to turn complex information into practical value for operations. Professional Summary I am a professional with experience in data analysis, business intelligence, automation, and information management, combining technical operations with the development of analytical solutions for real business environments. I have contributed to dashboard development, data migration and normalization, API-based extraction, ETL processes, and data structuring for reporting and decision-making. In my recent experience, I have worked on preparing data for business migrations to Odoo, consolidating and cleaning large product datasets, and building extraction and transformation pipelines from the Quabund API using Python, SQL, and AWS-based data architectures with S3 storage and PostgreSQL loading. I have also developed dashboards in Power BI and Looker Studio, along with complementary solutions in Google Sheets, Google Colab, Apps Script, and VBA to support real-time operational and analytical needs. My Mechanical Engineering background has given me a strong foundation in logic, analysis, and problem-solving, as well as technical field experience in plan interpretation, surveying, and Civil 3D. I am self-taught, disciplined, adaptable, and results-oriented, with the ability to convert complex operational needs into structured, data-driven solutions.

Trained data analyst and Data Scientist My top relevant skills are: - Data visualization and data analysis using SQL, python, Excel, Google Sheets, Tableau, Google Looker Studio, Power BI and Metabase - Data engineering and feature extraction using python and BigQuery - Data scraping. - e-commerce Data management (Woo-commerce, Shopify) Some of my accomplishments are: - Created KPI reports and dashboards delivered using Googe Data Studio. - Created profiles that can be acted upon after clustering of data - Mined public websites and datasets to create actionable insights

✅ Top Rated | CRM Developer | Podio, GoHighLevel | PHP, JavaScript, Zapier Expert ✅ Created Podio based MAMBA CRM for real estate 🧠 11+ Years of Experience 🔁 94% Client Recommendation 🕒 2700+ Hours Logged I help businesses automate workflows, manage leads, and scale operations through custom CRMs, web apps, and third-party integrations. If you're a real estate investor, roofing company, marketing agency, or B2B team, I can build and automate systems that save time and increase productivity. 💼 Skills & Technologies 🧩 CRM Platforms: Podio (Globiflow expert), GoHighLevel (GHL), HubSpot, Pipedrive, Airtable ⚙️ Automation Tools: Zapier, Make (Integromat), n8n, Webhooks, Custom APIs, Cron Jobs 💻 Web & App Development: PHP (Laravel, CodeIgniter, Yii), JavaScript (Vanilla JS, jQuery), HTML, CSS, AJAX, MySQL, MongoDB 📊 Dashboards & BI Tools: Klipfolio, Plecto, Power BI, Tableau, Google Data Studio 🔌 Integrations & APIs: Twilio, DocuSign, RightSignature, Slybroadcast, MailChimp, CallRail, Zillow, QuickBooks, Google APIs, Webmerge, LOB, Docsaway, Wufoo, ManyChat AI Tools: OpenAI, VAPI, Retell 🚀 What I Can Do for You 🔹 Build or customize your CRM (Podio, GHL, HubSpot) 🔹 Automate workflows to eliminate manual tasks 🔹 Create dashboards for KPI tracking and reporting 🔹 Develop custom web applications 🔹 Integrate third-party tools via Zapier or direct APIs 🔹 Build AI bots using OpenAI, Retell, or VAPI 🛠️ Why Work With Me ✔️ I don’t just code — I design reliable, scalable business systems ✔️ I provide clear communication, deep technical skills, and reliable delivery ✔️ I only take projects where I guarantee quality and success 📞 Bonus: On-call Podio support for the first month after delivery

I help companies turn messy, scattered data into reliable systems that power real decisions, from cloud data warehouses processing hundreds of millions of daily events for millions of users, to multi-terabyte tables with tens of billions of records that I redesign and optimize to cut load times and costs by up to 60%. With 6+ years across startups, SMBs, and global companies, I build the full data stack end to end: scalable pipelines and data warehouses, workflow automation, and the dashboards and analytics that sit on top. Many of my clients come to me for "a dashboard" or "help with their data" — and what they actually need is the right data foundation underneath. I build both. 🔑 Challenges I Help Solve 📉 Scattered, inconsistent data: Information spread across multiple tools, making accurate reporting and decisions hard. ⏰ Manual, repetitive work: Hours lost on tasks and reports that should be automated. 🌌 Data but no insight: Plenty of data, but no clear answers to act on. ⚙️ Slow or costly pipelines: Infrastructure that breaks, lags, or scales badly. ⚙️ What I Do - Data Engineering & Warehousing: Design, build, and redesign data warehouses and lakehouses (BigQuery, Databricks, Snowflake) that handle massive, high-volume workloads. - ETL & Automation: Build scalable pipelines and automate workflows and reporting with Airflow, Python, Spark, SQL, and Apps Script. Clean, reliable, on time. - Cloud: Deploy and manage solutions on Google Cloud (GCP), AWS, and Azure. - Analytics & Dashboards: Turn that data into clear, decision-ready dashboards in Tableau, Looker Studio, Power BI, and Metabase. - AI & Advanced Analytics: Apply data science and ML to detect trends, forecast, and build intelligent, data-driven applications. 🛠️ My Toolkit Languages & Engineering: SQL, Python, R, Spark, Airflow, Databricks, dbt, Apps Script Cloud: Google Cloud (BigQuery, Cloud Run, Pub/Sub), AWS, Azure Analytics & Visualization: Tableau, Looker Studio, Power BI, Metabase, Microstrategy, Google Sheets / Excel AI & Automation: Generative AI, workflow automation, data-driven applications 💼 Proven Results - Designed and optimized cloud data warehouses processing hundreds of millions of daily events for millions of users. - Redesigned data architectures with multi-terabyte tables and tens of billions of records, cutting load times and infrastructure costs by up to 60%. - Delivered ETL, automation, and dashboards for 30+ businesses worldwide. - Developed AI-powered solutions such as a RAG-based chatbot and predictive models. 📈 Whether you need to set up your first data warehouse, automate a painful manual process, optimize slow pipelines, or finally get the dashboards your team can trust, I can design the right solution for your business. Let's connect and discuss what you're trying to achieve.

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 + Clickhouse 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, Clickhouse, 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.