You will get I will automate data pipelines from APIs to BigQuery
Project details
I will build an automated data pipeline that extracts, transforms, and loads your data into BigQuery for analytics and reporting.
Many companies have data spread across APIs, databases, spreadsheets, and marketing platforms. I help consolidate these sources into a structured BigQuery data warehouse, making it easier to analyze performance and build dashboards.
Using Python or n8n, I create reliable ETL pipelines that collect data from different platforms, process it, and store it in BigQuery with automated scheduling.
What you get with this project:
• Automated ETL pipeline (Python or n8n)
• Clean and structured tables in BigQuery
• API or database integrations
• Automated pipeline execution (daily or scheduled)
• Scalable structure ready for analytics and dashboards
Common use cases include marketing data pipelines (Google Ads, Meta Ads, CRM), API integrations, and automated analytics workflows.
Many companies have data spread across APIs, databases, spreadsheets, and marketing platforms. I help consolidate these sources into a structured BigQuery data warehouse, making it easier to analyze performance and build dashboards.
Using Python or n8n, I create reliable ETL pipelines that collect data from different platforms, process it, and store it in BigQuery with automated scheduling.
What you get with this project:
• Automated ETL pipeline (Python or n8n)
• Clean and structured tables in BigQuery
• API or database integrations
• Automated pipeline execution (daily or scheduled)
• Scalable structure ready for analytics and dashboards
Common use cases include marketing data pipelines (Google Ads, Meta Ads, CRM), API integrations, and automated analytics workflows.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Pages Mined/Scraped | 0 | 0 | |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Additional Source Mined/Scraped
(+ 2 Days)
+$120Frequently asked questions
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NP
Nathalia P.
May 27, 2025
E-commerce and Marketing Analytics Dashboard Creator
About Kaique
Data Analyst | Power BI | Excel |Statistic | Specialist & UX
Sao Paulo, Brazil - 7:09 am local time
Over the past 5 years, I've worked across logistics, legal ops, e-commerce, and marketing — always in the same role: the person who makes data actually useful.
What I typically deliver:
→ Data pipelines & ETL (BigQuery, Airflow, Python, n8n)
→ BI dashboards that stakeholders actually use (Looker Studio, Tableau, Power BI)
→ SQL modeling & data architecture (BigQuery, PostgreSQL, Redshift)
→ Process automation that eliminates manual reporting
→ API integrations & data capture from external platforms
Recent highlights:
→ Built a regional payment data pipeline at Mercado Livre, unifying 6,400+ payments totaling $2B+ in local currency across Hispanic countries
→ Structured the full data infrastructure for a US marketing agency — from API capture to Gold Layer in BigQuery to automated daily reports
→ Served as BI focal point at Kuehne + Nagel for clients including Amazon, Shein, and Unilever
I work with clear communication, documented deliverables, and a strong focus on what the data needs to actually answer — not just what looks good in a chart.
If you have messy data, slow reports, or a team that's flying blind — let's fix that.
Steps for completing your project
After purchasing the project, send requirements so Kaique can start the project.
Delivery time starts when Kaique receives requirements from you.
Kaique works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements review
Review data sources, APIs, and project requirements.
Data pipeline development
Build ETL pipeline and integrate the data sources into BigQuery.