Raghavendra M G

Automate infrastracture deployment and scalability Enable data migration across regions and clusters Perform data analysis and create data pipelines

• Create process flow diagrams for candidate information lifecycle as part of hiring • Develop data models using Hackolade and acquire business stakeholder approval • Perform data transformation on candidate 360 platform integrating profile evaluation scores, interview feedback and several other parameters using PySpark

• Create and configure Spark and HBase clusters on Microsoft Azure HDInsight. • Update ingestion scripts to process large datasets and load data to HBase tables. • Develop Oozie workflows to orchestrate the data ingestion process. • Debug data pipeline issues using PySpark modules for reconciliation and log analysis. • Generate reports using Phoenix client on HBase tables. • Build integrations for function specific enterprise data sources to ensure reliable data transfer. • Proactive monitoring of Data Lake by configuring and capturing alerts on cluster performance using Ambari. • Perform root cause analysis and debugging of the failed jobs.

• Implement data validation solutions on Big Data datasets using Java. • Create, execute and test ETL Pipeline using Spark jobs and Hive. • Perform root cause analysis and debugging of the failed jobs using Data Frames. • Develop Spark jobs to process data and generate reports. • Collaborate with peers, product managers and solution architect to understand requirements in-order to deliver the best solution for our users. • Communicate across multiple teams including our offshore team. • Work on major development tools and processes; for example, revision control, requirements specs, unit and system tests. • Responsible for a QA build, release and streamline service configuration.

• Developed, upgrade and maintain application for a leading Investment banking firm using Python, JavaScript, HTML-CSS and Oracle PL/SQL. • Delivered critical application upgrades and proposed solutions for complex technical issues. • Led requirement analysis, coding, peer reviews and testing on multiple projects with 10 team members. • Worked on release planning which includes measuring the effort and risks involved in each sprint. • Worked with product managers to clarify and prune requirements for each sprint. Performed code reviews and mentored new team members. • Involved in setup of Hadoop. Performed complex transformations and generated reports using MapReduce, Hive.

• Designed critical applications responsible for provisioning telecom network using UML, Object Oriented Programming concepts and implemented using Java, J2EE and RDBMS. • Led network migration related activities involving 4 teams as on-site co-ordinator for 2 years in United Kingdom. • Debugged PL/SQL code to perform root cause analysis and provide fix on critical production issues. • Reduced redundency by automating repetitive tasks using Unix and PL/SQL scripts. • Worked on deployment and maintenance of Cloud-based applications hosted on Customer-private cloud, AWS environments operating on Windows and Linux systems. • Used Agile delivery model within development team to speed up application upgrades.