Configuration of a reliable data infrastructure by Sebastiaan WiechersConfiguration of a reliable data infrastructure by Sebastiaan Wiechers
Configuration of a reliable data infrastructureSebastiaan Wiechers
Cover image for Configuration of a reliable data infrastructure
Committed to connecting all the data from different sources, such as Excel Sheets, operational platforms, 3rd party software vendors, analytics providers, ad platforms, and more.
All data from these platforms gets integrated on a daily, hourly or real-time basis into a data warehouse of your choice, such that your analysts and data sciences have access to reliable, clean, comprehensive data.

What's included

Mapping out relevant data sources
An overview and project scope delivery outlining - which data sources contain the relevant data to track your most important KPI's - outline of the best data infrastructure considering your requirements (latency, update frequency, flexibility and cost) - action plan and recommendation for implementation
Automated integrations of all platforms to your data warehouse
At the end of the project, all relevant data sources are connected to the appropriate ETL or ELT solution, pulling data frequently to your data warehouse, in a cleaned up and usable format, ready for analysis.
Connected analytics tooling
Connections between your data warehouse and analytics suite of your choice (Tableau, PowerBI, Looker Studio, Metabase, etc.), optimized for speed, such that your analysts are ready to serve your managers or clients.
Starting at$7,000
Duration4 weeks
Tags
Google BigQuery
Google Cloud Platform
Looker
Python
Supabase
Backend Engineer
Cloud Infrastructure Architect
Data Engineer
Service provided by
Sebastiaan Wiechers Madrid, Spain
Configuration of a reliable data infrastructureSebastiaan Wiechers
Starting at$7,000
Duration4 weeks
Tags
Google BigQuery
Google Cloud Platform
Looker
Python
Supabase
Backend Engineer
Cloud Infrastructure Architect
Data Engineer
Cover image for Configuration of a reliable data infrastructure
Committed to connecting all the data from different sources, such as Excel Sheets, operational platforms, 3rd party software vendors, analytics providers, ad platforms, and more.
All data from these platforms gets integrated on a daily, hourly or real-time basis into a data warehouse of your choice, such that your analysts and data sciences have access to reliable, clean, comprehensive data.

What's included

Mapping out relevant data sources
An overview and project scope delivery outlining - which data sources contain the relevant data to track your most important KPI's - outline of the best data infrastructure considering your requirements (latency, update frequency, flexibility and cost) - action plan and recommendation for implementation
Automated integrations of all platforms to your data warehouse
At the end of the project, all relevant data sources are connected to the appropriate ETL or ELT solution, pulling data frequently to your data warehouse, in a cleaned up and usable format, ready for analysis.
Connected analytics tooling
Connections between your data warehouse and analytics suite of your choice (Tableau, PowerBI, Looker Studio, Metabase, etc.), optimized for speed, such that your analysts are ready to serve your managers or clients.
$7,000