I designed and implemented a data migration and automation solution for my client, streamlining their data pipeline from Google Drive to BigQuery and enabling efficient visualization in Data Studio. The project involved developing two distinct algorithms to handle monthly and weekly data transfers, each tailored to meet specific requirements.

The solution aimed to automate the ingestion of structured data files (e.g., CSV, Excel) stored in Google Drive, transferring them to BigQuery for storage, processing, and analysis. Once the data was successfully migrated, it was visualized through dynamic dashboards in Data Studio, providing real-time insights for the client.

Python & Google Apps Script: To automate file detection, validation, and ingestion processes.

BigQuery APIs: For seamless data storage, transformation, and querying.

Data Studio: For creating dynamic dashboards with customized metrics and visuals.

🚀 End-to-End automation: Eliminated the need for manual uploads and processing by implementing fully automated data ingestion pipelines.

⏳ Significant time savings: Reduced data processing time from a few hours to just 10 minutes.

📊 Improved data consistency and accuracy: Through validation checks and standardized ingestion processes.

🔍 Enhanced data accessibility: Integrated Data Studio dashboards provided real-time insights, improving decision-making.

🔒 Scalability and reliability: The solution is adaptable to accommodate additional data sources or higher data volumes as needed.