Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.
Professional Summary
Splunk ES Engineer with 7 years of experience designing observability platforms that scale to millions of events per day. Deep expertise in data ingestion pipelines, security monitoring, and multi-cloud Splunk architecture. Passionate about building reliable, self-service telemetry solutions that accelerate DevSecOps velocity.
Skills
- AWS
- Python
- Linux
- Communication
- Azure
- Kubernetes
- Docker
- Data Analysis
- Ci/Cd
- Terraform
- SQL
- Kafka
- Splunk Enterprise Security
- Observability
Experience
Splunk Es Engineer — Openkyber
- Architected multi-cloud Splunk observability stack ingesting 12M events/day across AWS and Azure workloads.
- Reduced security incident mean time to detection by 60% through fine-grained threat telemetry and automated alerting.
- Led Splunk ES migration from on-prem to hybrid cloud, maintaining zero downtime and validating compliance controls.
- Implemented Terraform-driven infrastructure as code for Splunk indexers and search heads, improving deployment safety.
- Mentored junior engineers on data quality best practices, increasing observability dashboard adoption by 40%.
Software Developer — Deloitte Digital
- Delivered full-stack client observability dashboards using React and Splunk JS SDK, reducing page load troubleshooting time by 75%.
- Implemented CI/CD pipelines that automated testing and deployment of microservices, improving release cadence from quarterly to bi-weekly.
- Optimized data pipelines using Python and AWS Glue, decreasing ETL latency from 6 hours to 30 minutes while maintaining accuracy.
- Led cross-functional workshops to establish data governance guardrails, resulting in a 50% reduction in compliance rework.
- Championed developer experience improvements, introducing self-service telemetry sandboxes that increased experimentation velocity.