Custom Data Pipelines with Python and Cloud by Subrin Al AzadCustom Data Pipelines with Python and Cloud by Subrin Al Azad
Custom Data Pipelines with Python and CloudSubrin Al Azad
Cover image for Custom Data Pipelines with Python and Cloud
Build robust data pipelines with Python on the cloud. Extract, transform, and load data efficiently into your desired data warehouse.

What's included

I will develop the followings
I will do the following in this process:- ○ Data Extraction: Efficiently extract data from specified APIs and other data sources. ○ Data Transformation: Cleanse, validate, and transform data into a usable format. ○ Data Loading: Load transformed data into the desired cloud data warehouse (e.g., BigQuery). ○ Data Pipeline Development: Build robust and scalable Python-based data pipelines. ○ Documentation: Provide clear and concise documentation of the developed pipeline. Additional Deliverables (based on client needs): ○ Data Modeling: Create optimized data models within the data warehouse. ○ Data Visualization: Develop custom dashboards or reports using visualization tools (e.g., Looker Studio, Power BI). ○ API Development: Create custom APIs for data access and integration. ○ Data Quality Assessment: Implement data quality checks and monitoring. ○ Cloud Infrastructure Setup: Configure cloud resources (e.g., cloud storage, compute instances) for optimal pipeline performance.
Contact for pricing
Tags
Google BigQuery
Google Cloud Platform
Looker
pandas
Python
Database Engineer
Data Engineer
Data Visualizer
Service provided by
Subrin Al Azad Dhaka, Bangladesh
5.00
Rating
Custom Data Pipelines with Python and CloudSubrin Al Azad
Contact for pricing
Tags
Google BigQuery
Google Cloud Platform
Looker
pandas
Python
Database Engineer
Data Engineer
Data Visualizer
Cover image for Custom Data Pipelines with Python and Cloud
Build robust data pipelines with Python on the cloud. Extract, transform, and load data efficiently into your desired data warehouse.

What's included

I will develop the followings
I will do the following in this process:- ○ Data Extraction: Efficiently extract data from specified APIs and other data sources. ○ Data Transformation: Cleanse, validate, and transform data into a usable format. ○ Data Loading: Load transformed data into the desired cloud data warehouse (e.g., BigQuery). ○ Data Pipeline Development: Build robust and scalable Python-based data pipelines. ○ Documentation: Provide clear and concise documentation of the developed pipeline. Additional Deliverables (based on client needs): ○ Data Modeling: Create optimized data models within the data warehouse. ○ Data Visualization: Develop custom dashboards or reports using visualization tools (e.g., Looker Studio, Power BI). ○ API Development: Create custom APIs for data access and integration. ○ Data Quality Assessment: Implement data quality checks and monitoring. ○ Cloud Infrastructure Setup: Configure cloud resources (e.g., cloud storage, compute instances) for optimal pipeline performance.
Contact for pricing