BigQuery Database Creation with Windsor API and Google Sheets

@Microlent

Hi, this is essentially an ETL + reporting pipeline, and the important part isn’t just pulling data into BigQuery — it’s structuring it cleanly so Looker Studio works reliably without constant fixes. I can help you set this up end-to-end: • Extract: Connect Windsor API + Google Sheets • Transform: Clean, normalize, validate, and structure data into proper BigQuery tables • Load: Optimized BigQuery dataset with partitioning (if needed) for performance • Reporting Layer: Prepare aggregated/analysis-ready tables specifically designed for Looker Studio I’ve worked with API + Google Sheets + database pipelines and focus on making them stable, maintainable, and reporting-friendly not just “working once.” Once you share the Windsor API details and sample Sheets, I can quickly map the schema and propose the best structure before implementation. Happy to get started. ~Rajesh

@kamran2012

Hi there, I will build your BigQuery database — ingesting data from the Windsor API and Google Sheets, running transformation and validation pipelines, and connecting the final output to Looker Studio dashboards. For the Windsor API integration, I will set up scheduled Cloud Functions that pull data incrementally rather than full refreshes each time. This reduces API call volume, keeps costs down, and ensures your BigQuery tables stay current without hitting rate limits. Aggregation logic will live in BigQuery views so Looker Studio always queries pre-processed, dashboard-ready data. Questions: 1) Which Windsor API endpoints and metrics do you need pulled — ad spend, attribution, or others? 2) How frequently should the data sync run — hourly, daily, or near real-time? Looking forward to talking through the details. Kamran

@Solutionzhere

We’ll set up API ingestion (Windsor), Sheets connectors, transformation layer (SQL/dbt-style), validation checks, and optimized BigQuery schema, then wire Looker Studio for final reporting. Suggest ₹90k–₹1.4L, 2–3 weeks for end-to-end delivery + docs. We’ve delivered similar multi-source analytics pipelines. One question: does the Windsor API support incremental pulls (timestamps/webhooks) or only full data fetches?

@OutsourceMan

As the head of CnELIndia, I am Raman, offering over 18 years of extensive experience in web and app development which spans across a number of relevant areas required for this project. Our skills and expertise in API integration, data processing, and cloud computing are sure to be a valuable asset to create the BigQuery database you need with Windsor API and Google Sheets integration. One particular area where we have been excelling is our mastery over Google BigQuery--serving as a perfect solution for creating a cleaned database by transforming, validating, and aggregating your data. This proficiency combined with our strong knowledge of Google Sheets ensures efficient integration from two very different sources. Lastly, our familiarity with Looker Studio provides the ultimate assurance of our capability to deliver the final output as desired. Choosing CnELIndia means entrusting your work to experienced professionals who consistently deliver top-quality solutions on time and within budget constraints. Let's make your data management seamless with our unyielding expertise!

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@nareshk44

With my extensive experience in Data Analytics and Data Processing, complemented by my deep understanding of Google Sheets, I am without a doubt the ideal candidate for your project. I have an eye for detail and can seamlessly integrate data from various sources, such as Windsor API and Google Sheets, into BigQuery with flawless precision. Over the years, I have developed a set of skills that allows me to transform, validate, and aggregate data effectively and efficiently. Having worked extensively on similar projects using Google tools, I possess an intricate understanding of Google BigQuery and Looker Studio. My knowledge doesn't just stop at the technical side either; I understand the bigger picture with Looker Studio being essential for your final output. This means I know what is necessary to ensure seamless integration and get you actionable insights from your data. In terms of timelines and quality of work, you can rest assured that I will deliver on time without compromise. I am a strong believer in maintaining open communication throughout the project duration. With me on board you will have 24/7 availability, professional support and a commitment to meeting tight deadlines without compromising quality. Choose me Naresh for a top-quality service delivery that exceeds your expectations!

@TechWagger2026

Hello, I have carefully reviewed your data pipeline requirement and I understand you need a reliable reporting architecture where Windsor API data and Google Sheets inputs are centrally ingested into a cleaned BigQuery warehouse, then transformed into a validated analytics ready layer for seamless Looker Studio visualization. I have strong experience building cloud based ETL workflows involving API extraction, scheduled Google Sheets synchronization, BigQuery schema design, SQL based transformation, duplicate validation, metric aggregation and dashboard ready reporting tables. My approach would focus on creating an automated and scalable pipeline so the final Looker Studio reports remain accurate, fast and easy to extend. I have worked on similar business intelligence setups involving third party APIs, Google Cloud data warehousing and executive dashboards. My software expertise includes Google BigQuery, API integration, Google Apps Script, SQL transformation, Looker Studio and cloud reporting automation. I am confident in delivering a clean end to end solution with documented handover. Regards Arun

@KarthikTechCon

Hi, I’m Karthik with 15+ years of experience in data engineering, BigQuery pipelines, API integrations, ETL workflows, and business intelligence reporting. I can create a clean, scalable Google BigQuery database by integrating data from the Windsor API and Google Sheets, then prepare it for seamless reporting in Looker Studio. What I can deliver: ✔ Windsor API integration into BigQuery ✔ Google Sheets data ingestion workflows ✔ Data transformation & normalization ✔ Validation & aggregation pipelines ✔ Clean optimized BigQuery schema ✔ Automated/scheduled sync workflows ✔ Looker Studio-ready reporting structure ✔ Documentation & deployment guidance Technical Expertise: • Google BigQuery • Google Sheets integrations • REST API integrations • ETL/ELT pipeline development • SQL & data transformation workflows • Looker Studio dashboards/reporting Relevant experience: • API-to-BigQuery integrations • Reporting & analytics pipelines • Data cleaning & validation • Cloud-based BI architectures I focus on building scalable, maintainable data pipelines with optimized query performance and reporting-ready datasets. Ready to start immediately and discuss your Windsor API structure and reporting requirements. Regards, Karthik

@somendersingh96

Hello, I can set up a clean BigQuery data pipeline integrating Windsor API and Google Sheets, ready for Looker Studio. ✅ What I’ll Deliver • BigQuery schema + data ingestion (API + Sheets) • Data processing: cleaning, transformation, validation, aggregation • Structured dataset optimized for Looker Studio dashboards ✅ Stack BigQuery, Google Sheets API, Cloud Functions / Apps Script ✅ Experience Built BigQuery pipelines with API + Sheets, including data cleaning and dashboard-ready outputs. Ready to start and review your data sources. Best regards, Somender Singh

@mengw3

Leveraging two decades of experience, I can seamlessly integrate the Windsor API and Google Sheets data into your sought-after BigQuery database. My track record in API integration aligns perfectly with the project. Furthermore, as an adept data processor, I can assure you of top-notch cleaning, transformation, validation, and aggregation to ensure a first-rate BigQuery database outcome. Given my expertise in Google BigQuery and Google Sheets, I am an obvious choice for this project. On top of that, I have relevant experience using Looker Studio too, which will come in handy when linking your cleaned BigQuery database for the final output. Lastly, as someone who values seamless teamwork across time zones and a focus on business growth & innovation, working with me means not only choosing a freelancer who meets your technical needs but also a partner who's fully invested in your success. Contact me so we can discuss in detail how to build something extraordinary together!

@hemangi3518

Hello, I can help you build a complete data pipeline integrating Windsor API and Google Sheets into BigQuery, with automated daily updates and a clean dataset connected to Looker Studio. Approach: Data Integration: Extract data from Windsor API using scheduled calls Sync Google Sheets with BigQuery using native connectors ETL Pipeline (Daily Automation): Set up workflows via Cloud Functions, Cloud Scheduler, or n8n Ensure reliable daily refresh without manual effort Data Processing: Cleaning: remove duplicates, handle missing/inconsistent data Transformation: structure and standardize datasets Aggregation: create summary tables Validation: apply checks for data accuracy BigQuery Design: Optimized schema for performance and scalability Use partitioning and clustering for faster queries Looker Studio: Connect BigQuery tables Build clear, interactive dashboards Why me: Strong experience in BigQuery, ETL, and API integration Hands-on with Google Sheets → BigQuery automation Experience with Looker Studio dashboards Skilled in n8n, Python, and cloud workflows Focus on clean, scalable solutions Deliverables: Integrated BigQuery database Automated daily pipeline Cleaned and validated data Looker Studio dashboard I can start immediately and deliver a reliable setup. Best regards, Hemangi Chhaya