Arul A.

Arul A.

ChennaiIndia

Professional Data Engineer/Tableau Developer

• 7 years of IT experience as a developer and SRE in software cycle encompassing analysis, design, development, unit testing, and implementation. • Certified Azure Data Engineer, Tableau Developer, Informatica, DataStage, Spring boot, Kafka, Azure Data factory, Azure Data Bricks, Pivotal Cloud Foundry (PCF), Open shift (OCP), Elastic(ELK),Django, Python • Implemented an Event Bus Cloud Application running in Pivotal Cloud Foundry using spring boot and Event Streaming platform Confluent Kafka which will collect events from down streams process and send to up streams like Moog soft, Internal Application API’s using Kafka Producers, Consumer and Streaming API’s. • Implemented an Automation Log API Application running in Pivotal Cloud Foundry using spring boot to consolidate all automations executed and developed a report in Kibana using that data. • Implemented a Monitoring & Alerting solution for Spark Applications using Django Python. • Developed and integrated new monitoring, alerting tools such as Dynatrace, Moog soft, Pager Duty for Identifying, gathering, analyzing and automating responses to key performance metric’s, logs, alerts, Implemented Log aggregation using ELK by installing file beat on more than 30 servers to transfer logs to Log stash and Elastic. • Designed and implemented an automation solutions using Ansible to automate installation of file beat (To transfer logs to ELK from servers), Automation solution to restart applications/services running in Pivotal cloud foundry. Automation solution to automate disk space cleanup in Linux server, Self-healing automation solution for restarting services in Windows servers using Ansible, Dynatrace & Moog soft.. • Generated advance Tableau reports, level of description (LOD), publishing customized interactive reports, dashboards, stories, Created relationships, actions, data blending, calculated fields, sorting, live connections & extracts, created schedules in tableau server, Worked on Filters, Context filter, Quick filter, legends, Marks, Colors, Size, Text, Shapes, customs symbols (smiles), hierarchies, Sets, Groups • Developed SLA reports for showing daily SLA breach status of each milestone of various applications – Used line & bar charts with dual axis to show the data in the report using parameters. • Developed Feed Availability dashboard for showing daily file availability status of files of various applications – Used pie charts & table charts with multiple action filter features to switch between table & pie charts. • Developed Data Sanity Story report for showing data record count & various details comparing current day & previous day data of various applications - Used pie charts & table charts with multiple action filter features to switch between table & pie charts. • Developed RAG report with a trend line for showing the burn down of various applications milestones over a period of time – Used Linear regression (Equation of line) model to find the expected target date. • Developed OLA Trend line reports for showing daily OLA breach status of each KPI’s of various applications – Used line chart with dual axis to show the data in the report using parameters. • Developed heat map report for showing the monthly OLA status of each file of various applications
Arul A.

Arul A.

ChennaiIndia

Professional Data Engineer/Tableau Developer

Specializes in
• 7 years of IT experience as a developer and SRE in software cycle encompassing analysis, design, development, unit testing, and implementation. • Certified Azure Data Engineer, Tableau Developer, Informatica, DataStage, Spring boot, Kafka, Azure Data factory, Azure Data Bricks, Pivotal Cloud Foundry (PCF), Open shift (OCP), Elastic(ELK),Django, Python • Implemented an Event Bus Cloud Application running in Pivotal Cloud Foundry using spring boot and Event Streaming platform Confluent Kafka which will collect events from down streams process and send to up streams like Moog soft, Internal Application API’s using Kafka Producers, Consumer and Streaming API’s. • Implemented an Automation Log API Application running in Pivotal Cloud Foundry using spring boot to consolidate all automations executed and developed a report in Kibana using that data. • Implemented a Monitoring & Alerting solution for Spark Applications using Django Python. • Developed and integrated new monitoring, alerting tools such as Dynatrace, Moog soft, Pager Duty for Identifying, gathering, analyzing and automating responses to key performance metric’s, logs, alerts, Implemented Log aggregation using ELK by installing file beat on more than 30 servers to transfer logs to Log stash and Elastic. • Designed and implemented an automation solutions using Ansible to automate installation of file beat (To transfer logs to ELK from servers), Automation solution to restart applications/services running in Pivotal cloud foundry. Automation solution to automate disk space cleanup in Linux server, Self-healing automation solution for restarting services in Windows servers using Ansible, Dynatrace & Moog soft.. • Generated advance Tableau reports, level of description (LOD), publishing customized interactive reports, dashboards, stories, Created relationships, actions, data blending, calculated fields, sorting, live connections & extracts, created schedules in tableau server, Worked on Filters, Context filter, Quick filter, legends, Marks, Colors, Size, Text, Shapes, customs symbols (smiles), hierarchies, Sets, Groups • Developed SLA reports for showing daily SLA breach status of each milestone of various applications – Used line & bar charts with dual axis to show the data in the report using parameters. • Developed Feed Availability dashboard for showing daily file availability status of files of various applications – Used pie charts & table charts with multiple action filter features to switch between table & pie charts. • Developed Data Sanity Story report for showing data record count & various details comparing current day & previous day data of various applications - Used pie charts & table charts with multiple action filter features to switch between table & pie charts. • Developed RAG report with a trend line for showing the burn down of various applications milestones over a period of time – Used Linear regression (Equation of line) model to find the expected target date. • Developed OLA Trend line reports for showing daily OLA breach status of each KPI’s of various applications – Used line chart with dual axis to show the data in the report using parameters. • Developed heat map report for showing the monthly OLA status of each file of various applications
More than 30 hrs/week