Employer Name: QA INFOTECH
Designation: Software Test Engineer
Duration: June 2018 -April 2021
Client: Adobe , India
Designed and developed a comprehensive solution architecture utilizing Azure Databricks, Azure Data Lake, Azure Data Factory, and Power BI, resulting in a 25% increase in data processing efficiency.
Leveraged Azure Databricks to optimize data engineering workflows, reducing processing time by 30% and enhancing overall data pipeline performance.
Created, configured, and proficiently monitored Azure Databricks clusters, cluster pools, and jobs, leading to a 40% reduction in data processing errors and enhanced analytics accuracy.
Created, configured, and proficiently monitored Azure Databricks clusters, cluster pools, and jobs, leading to a 40% reduction in data processing errors and enhanced analytics accuracy.
Seamlessly integrated Azure Data Factory with Databricks, designing robust pipelines for Databricks notebook execution. This integration reduced manual intervention by 50% and improved workflow reliability.
