Dharshan B

• Designed and developed scalable ETL pipelines in Databricks using PySpark for hourly and dailyRAN KPI datasets.• Automated KPI master, formula, and core table synchronization improving data consistency.• Built data quality frameworks including missing-hour detection and source-to-target validation.• Orchestrated multi-notebook workflows with parameterized and scheduled jobs.

Designed and developed scalable ETL pipelines in Databricks using PySpark for hourly and daily RAN KPI datasets.
Automated KPI master, formula, and core table synchronization improving data consistency.
Built data quality frameworks including missing-hour detection and source-to-target validation.
Orchestrated multi-notebook workflows with parameterized and scheduled jobs.
Delivered L2/L3 production support for enterprise applications, handling incident management and SLA-based resolution.
Performed root cause analysis and implemented permanent fixes using Java and Oracle SQL.
Coordinated during outages and high-priority incidents to restore services.
Supported deployments, post-production validation, and defect resolution.

Designed and developed scalable ETL pipelines in Databricks using PySpark for hourly and daily RAN KPI datasets., Automated KPI master, formula, and core table synchronization improving data consistency., Built data quality frameworks including missing-hour detection and source-to-target validation., Orchestrated multi-notebook workflows with parameterized and scheduled jobs., Delivered L2/L3 production support for enterprise applications, handling incident management and SLA-based resolution., Performed root cause analysis and implemented permanent fixes using Java and Oracle SQL., Coordinated during outages and high-priority incidents to restore services., Supported deployments, post-production validation, and defect resolution.