You will get I will automate your data workflow with a Python ETL script


Project details
I will create a Python script to automate your data workflows, including data extraction, cleaning, transformation, and loading (ETL).
The automation will save you time by eliminating repetitive manual tasks and ensuring data consistency.
The automation will save you time by eliminating repetitive manual tasks and ensuring data consistency.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$200
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 7 days | 9 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $100
Additional Revision
+$30
Custom Data Source Integration
(+ 2 Days)
+$60
Documentation & User Guide
(+ 1 Day)
+$30Frequently asked questions
About Patr
Data Engineer|Python|GCP|Databricks|Airflow|Dashboards|Data Science
Sao Paulo, Brazil - 5:57 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.
Review client data
I analyze the provided dataset, validate the structure, and confirm scope.
Data cleaning & transformation
I apply cleaning rules (remove duplicates, handle nulls, format types) and perform requested transformations

