Analytics Engineer
Client: Wolt
Building scalable data infrastructure and analytics solutions for Wolt, a leading food delivery platform
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Project Overview
Partnering with Wolt to design and implement robust data engineering solutions that power their business intelligence and decision-making processes.
Challenge: Wolt needed scalable data infrastructure to handle millions of daily transactions and provide real-time insights to stakeholders across multiple markets.
Solution: Implemented modern data warehouse architecture using Google BigQuery, designed ETL pipelines, and created automated reporting dashboards that enable data-driven decision making at scale.
Technologies: BigQuery, SQL, Data Modeling, ETL, Looker Studio
Impact: Enabled faster data-driven decisions, improved data quality, and reduced manual reporting time by 70%.
Challenge: Wolt needed scalable data infrastructure to handle millions of daily transactions and provide real-time insights to stakeholders across multiple markets.
Solution: Implemented modern data warehouse architecture using Google BigQuery, designed ETL pipelines, and created automated reporting dashboards that enable data-driven decision making at scale.
Technologies: BigQuery, SQL, Data Modeling, ETL, Looker Studio
Impact: Enabled faster data-driven decisions, improved data quality, and reduced manual reporting time by 70%.
Key Achievements
• Designed and implemented scalable data warehouse architecture
• Built automated ETL pipelines processing millions of daily records
• Created executive dashboards providing real-time business metrics
• Reduced data processing time from hours to minutes
• Improved data quality and consistency across departments
• Built automated ETL pipelines processing millions of daily records
• Created executive dashboards providing real-time business metrics
• Reduced data processing time from hours to minutes
• Improved data quality and consistency across departments
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