Software Engineer at Cloudera
Palo Alto, California, United States
An experienced and result driven software engineer. Building high performance, scalable system for advance threat detection and analytics platform with a broad skill set in Hadoop stack, data visualization and data processing infrastructure. * Key contributor of PANW's advanced threat search and analytics project. The tool provides interactive data exploration and advanced data visualization. * Architected PANW's...
An experienced and result driven software engineer. Building high performance, scalable system for advance threat detection and analytics platform with a broad skill set in Hadoop stack, data visualization and data processing infrastructure. * Key contributor of PANW's advanced threat search and analytics project. The tool provides interactive data exploration and advanced data visualization. * Architected PANW's Tech support analytic tool which helps development in going through TB of logs, empowering development with awareness and insight of various aspects of firewall log data. Tools used: Python, Scala Spark, Spark streaming, Elastic Search, Kafka, HDFS HBase, Hive, Mongodb, Redis, RabbitMQ, Tornado, jQuery, bootstrap, high chartSenior Staff Engineer @ Developed HDFS/HBase based PB scale data storage with REST api interface. Developer and Lead for malware cyber threat intelligence tool (AutoFocus). Developed this project from a prototype to the product. Developed its big data pipeline that aggregates multiple big data sources. Wrote data transformation jobs using Hadoop and Spark. Fine tune elastic search infrastructure. Architected and developed firewall log data mining and analytics tool (PANTS v2). This tool helps in resolving Support escalations and provides data insight to the management. The tool provides term search and diagnostic metrics on the dashboard. Developed its queuing, log parsing, and indexing and report generation functionalities. Helped setting up saltstack based devops automation. Tools used: Java, Python, Scala HBase, Spark, Spark streaming, Elastic Search, Kafka, RabbitMQ node.js, tomcat, jaxrs, async, Tornado From January 2013 to Present (3 years) Prakash Ranade is skilled in: Python, Hadoop, Scalability, Git, Cloud Computing, MongoDB, REST, Software Development, jQuery, Databases, Django, Perforce, GNU Make, VMware, Agile Methodologies
Developed HDFS/HBase based PB scale data storage with REST api interface. Developer and Lead for malware cyber threat intelligence tool (AutoFocus). Developed this project from a prototype to the product. Developed its big data pipeline that aggregates multiple big data sources. Wrote data transformation jobs using Hadoop and Spark. Fine tune elastic search infrastructure. Architected and developed... Developed HDFS/HBase based PB scale data storage with REST api interface. Developer and Lead for malware cyber threat intelligence tool (AutoFocus). Developed this project from a prototype to the product. Developed its big data pipeline that aggregates multiple big data sources. Wrote data transformation jobs using Hadoop and Spark. Fine tune elastic search infrastructure. Architected and developed firewall log data mining and analytics tool (PANTS v2). This tool helps in resolving Support escalations and provides data insight to the management. The tool provides term search and diagnostic metrics on the dashboard. Developed its queuing, log parsing, and indexing and report generation functionalities. Helped setting up saltstack based devops automation. Tools used: Java, Python, Scala HBase, Spark, Spark streaming, Elastic Search, Kafka, RabbitMQ node.js, tomcat, jaxrs, async, Tornado
What company does Prakash Ranade work for?
Prakash Ranade works for Palo Alto Networks
What is Prakash Ranade's role at Palo Alto Networks?
Prakash Ranade is Senior Staff Engineer
What industry does Prakash Ranade work in?
Prakash Ranade works in the Computer Software industry.
Who are Prakash Ranade's colleagues?
Prakash Ranade's colleagues are Daniel Chaffelson, Tejveer Singh, Matthew Gardner, Kshitij Badani, Alan Jackoway, Jean-Francois Gauthier, Louie Folena, Abhishek Talluri, Lori Loberg, and Xiao Chen
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