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

Patr D.Status: Offline
Patr D.

Let a pro handle the details

Buy Other Databases services from Patr, priced and ready to go.
Patr D.Status: Offline
Patr D.

Let a pro handle the details

Buy Other Databases services from Patr, priced and ready to go.

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.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB
What's included
Service Tiers Starter
$600
Standard
$900
Advanced
$1,200
Delivery Time 8 days 12 days 14 days
Number of Revisions
123
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)
+$100

Frequently asked questions

Patr D.Status: Offline

About Patr

Patr D.Status: Offline
Data Engineer|Python|GCP|Databricks|Airflow|Dashboards|Data Science
Sao Paulo, Brazil - 11:15 am local time
I am a Data Engineer and Data Scientist with 5+ years of experience helping companies in banking, e-commerce, and technology transform their data into actionable insights. My main focus is on building robust data pipelines, automating workflows, and delivering interactive dashboards that support decision-making. I also design basic machine learning prototypes to validate business value before scaling.
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).

Review the work, release payment, and leave feedback to Patr.