You will get I will design cloud ETL pipelines with Airflow, Databricks & orchestration


Project details
I will design and implement a robust, cloud-native data pipeline to fully automate your workflows.
The pipeline will extract, transform, and load (ETL/ELT) data from multiple sources into a secure and scalable data warehouse (BigQuery, Snowflake, or Databricks).
Using modern orchestration frameworks such as Airflow, Dagster, or Airbyte, I ensure automation, monitoring, and reliability at every stage of the process.
Your final solution will include:
Clean and consistent data ready for analytics and dashboards
Automated scheduling (hourly/daily)
Logging, error handling, and performance optimization
Clear documentation and handover
This solution is scalable, maintainable, and tailored to your business needs — saving time, reducing errors, and enabling data-driven decisions.
The pipeline will extract, transform, and load (ETL/ELT) data from multiple sources into a secure and scalable data warehouse (BigQuery, Snowflake, or Databricks).
Using modern orchestration frameworks such as Airflow, Dagster, or Airbyte, I ensure automation, monitoring, and reliability at every stage of the process.
Your final solution will include:
Clean and consistent data ready for analytics and dashboards
Automated scheduling (hourly/daily)
Logging, error handling, and performance optimization
Clear documentation and handover
This solution is scalable, maintainable, and tailored to your business needs — saving time, reducing errors, and enabling data-driven decisions.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$600
|
Standard
$900
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 8 days | 12 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$120 - $250
Additional Revision
+$50
Extra Data Source Integration
(+ 2 Days)
+$100Frequently asked questions
About Patr
Data Engineer|Python|GCP|Databricks|Airflow|Dashboards|Data Science
Sao Paulo, Brazil - 11:15 am local time
Core Skills:
Data Engineering & Cloud: Python, SQL/NoSQL, Databricks, BigQuery, Airflow, Dagster, Airbyte, Docker, GCP.
Automation: Python scripting, ETL, APIs, Selenium, RPA.
Data Visualization: Looker Studio, Power BI, interactive dashboards.
Data Science: Exploratory Data Analysis, feature engineering, regression/classification models, ML prototyping.
What I can do for you:
Build and automate ETL pipelines (Airflow, Dagster, Databricks, Airbyte).
Create real-time dashboards and reports in Looker Studio / Power BI.
Automate workflows with Python and cloud-native tools.
Develop predictive models and prototypes to support business decisions.
📌 Check my GitHub for real projects:github.com/Patricia7sp
Steps for completing your project
After purchasing the project, send requirements so Patr can start the project.
Delivery time starts when Patr receives requirements from you.
Patr works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Kickoff
Review client’s requirements, access to data sources, destinations, and business rules
Pipeline Design
Define architecture (data sources, transformations, orchestration, warehouse).

