Issue:
The client, a media titan grappling with the chaos of scattered analytics platforms, sought to embark on a monumental journey of consolidating data from various data sources (GA, GAM, other third-party platforms). The mission included a seamless migration of critical data to Azure, navigating the intricate landscapes of architecture design, and ETL development.
Solution:
- Designed custom framework for seamless Azure migration.
- Crafted 90 data pipelines for extraction and transformation.
- Introduced monitoring application for data quality checks and pipeline failure detection.
- Incorporated data into visualization tools like Looker and Power BI.
- Implemented optimizations to reduce processing costs and offer tailored metrics based on business needs.
Impact:
- Swift issue resolution contributed to system stability.
- Optimized architecture minimized human intervention.
- Empowered stakeholders with data-driven decision-making capabilities.
- Achieved 60% cost savings and transformed data management through efficient migration.
- Reduced processing time by 45% through fine-tuned ETL pipeline execution.
Tools and Technologies :
- Google Analytics, GAM, Firebase, Azure Synapse Analytics, Google BigQuery, SQL Server, Snowflake, Python, SSAS Cube, Looker, Power BI.
