CHETHAN KUMAR N

Accomplished engineer proffering extensive cloud monitoring, deployment and troubleshooting skills. Defined, built and maintained infrastructure using vendor-neutral and platform-specific tools. Organized and focused person with extraordinary leadership acumen.

• Created Linked Services for multiple source system (i.e,: Oracle, SQL Server, ADLS G2, BLOB, File Storage and Table Storage).
• Created Pipeline's to extract data from on premises source systems to azure cloud data lake storage; Extensively worked on copy activities and implemented the copy behavior's such as flatten hierarchy, preserve hierarchy and Merge hierarchy; Implemented Error Handling concept through copy activity.
• Exposure on Azure Data Factory activities such as Lookup, Stored procedures, if condition, for each, Set Variable, Append Variable, Get Metadata, Filter and wait.
• Configured the logic apps to handle email notification to the end users and key shareholders with the help of web services activity; create dynamic pipeline to handle multiple source extracting to multiple targets; extensively used azure key vaults to configure the connections in linked services.
• Configured and implemented the Azure Data Factory Triggers and scheduled the Pipelines; monitored the scheduled Azure Data Factory pipelines and configured the alerts to get notification of failure pipelines.
• Worked independently by ingesting data into azure data lake and provide feedback based on reference architecture, naming conventions, guidelines and by following best practices.
• Implemented End-End logging frameworks for Data factory pipelines.
• Monitoring the DFM Dash Board and working on priority levels SLA Tickets.
• Based on the ticket, we are looking at the problem from every perspective, contacting the customer via MS Teams to gather information about the logic app workflow. that is relevant to the problem.
• We are working on a logic app workflow-related issue and are most likely encountering trigger and connector-related issues; as a result, we troubleshooted the connector and identified the issue within the SLA.
• We look for network traces and other applications like Applense and Kusto to investigate issues.
• We reproduce the workflow in our labs based on the issue and provide an action plan to the customer.