Optimizing ETL Pipelines for Real-Time Data Streaming
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Architect
Data Analyst
Data Engineer
AWS
Azure
Databricks
End to End road map- architecture and design for Realtime and batch data processing on Fleet management system on Databricks platform with Azure ad AWS – Delta Lakehouse designed and implementing.
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Posted Dec 24, 2024
Rajesh successfully optimized ETL pipelines to handle real-time data streaming, resulting in a 40% increase in processing speed and enhanced data reliability.
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Clients
WABCO
Tags
Architect
Data Analyst
Data Engineer
AWS
Azure
Databricks
EverBuild, SOQ & Radine Migration,DSS DataLake, CD Capabilities
Implementing Big Data Solutions on Cloud Platforms