Around 6+Years of experience in Linux administration and AWS administration.
Good knowledge on architectural concepts regarding console servers for Linux (HP) machines.
Experience on migration of on-prem Data center applications to the cloud.
Implementing and designing the network architecture in aws depending upon on application requirements.
Experience in troubleshooting the network related issues in the cloud.
• Provided end-to-end technical support for Spark Platform, resolving issues and challenges on the Databricks unified analytics platform.
• Served as a Designated Support Engineer for critical customers, ensuring proper handling of support cases and feature requests in accordance with SLAs.
• Troubleshot and resolved complex customer infrastructure issues related to the Databricks platform.
• Offered best practices guidance for custom-built solutions developed by Databricks customers.
• Reviewed and assisted in achieving solutions for complex customer use cases by researching and reproducing them in an in-house lab.
• Assisted customers in integrating BI tools (Power BI, Tableau, Tibco, FiveTran, etc.), job orchestrator tools (Apache Airflow, Azure Data Factory), version control systems (Azure DevOps, Github), and JDBC/ODBC clients with Databricks.
• Addressed issues related to third-party data source integrations with the Databricks environment, including Oracle, Snowflake, Teradata, Redshift, etc.
• Provided suggestions for improving performance and optimizing costs in customer-specific environments.
• Assisted customers in implementing best practices and automating use cases using Databricks REST APIs, Databricks CLI, Terraform, and custom initialization scripts.
• Demonstrated ownership and coordinated with engineering and escalation teams to achieve resolution of customer issues and requests.
• Developed, coached, and mentored the team to excel in their roles.
• Delivered enablement sessions on new features to team members.
• Identified knowledge base candidates, assigned them to engineers, reviewed, and followed up until publication.
• Regularly reviewed cases assigned to engineers, ensuring case hygiene and meeting SLA compliances.
DevOps Practices
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