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Data Engineer
Data Engineer at Motorola Solutions who migrated analytics projects to cloud platforms and cut ETL job execution time by 50%.
IndiaData Engineer at I
Led data migration of Analytics projects from on-prem systems to cloud platforms, improving pipeline performance and scalability. Developed scalable data engineering solutions for AT&T and Verizon using Azure and GCP services.
Azure DatabricksAzure Data FactoryAzure Data LakeSpark SQLPySparkGoogle Cloud StorageCloud ComposerDataprocBigQueryData MigrationAgileCode Review
Optimized ETL pipelines by migrating from Pig to PySpark, reducing job execution time by 50%. Developed Apache Spark-based KPI analytics pipelines for MCPTT performance metrics and automated Hadoop upgrades.
PySparkApache SparkHadoopHiveImpalaETLData PipelinesKibanaGrafanaAutomationSQLMCPTT3GPP
Designed and deployed scalable ETL data pipelines supporting over 70 microservices, achieving a 30% increase in data processing speed. Reduced disk usage by 60% and data errors by 40% through optimization and validation.
ETLHadoopHDFSMapReduceHiveImpalaSparkSQLData ValidationMonitoringError Handling
Engineered and optimized library management modules using the Odoo framework and Python, improving database efficiency and system performance.
PythonOdooDatabase Optimization
Pursued a Bachelor of Technology in Computer Engineering, achieving a CGPA of 9.73/10.
Profile sourced from Himalayas.