I design and build observability solutions that transform operational data into actionable insights. My work spans Splunk application development, monitoring automation, database telemetry, and infrastructure analytics—helping organizations improve visibility, reduce incident response times, and make data-driven decisions.
I specialize in integrating enterprise systems, databases, and cloud services into centralized monitoring platforms while developing custom tooling that extends Splunk beyond traditional log management.
- Design and implement end-to-end monitoring solutions across infrastructure, databases, and applications.
- Build custom Splunk apps, dashboards, and integrations tailored to operational and business requirements.
- Develop intelligent alerting workflows that reduce noise, prioritize critical events, and streamline incident response.
- Create executive and operational reporting solutions using advanced SPL, Dashboard Studio, and custom visualizations.
- Splunk Enterprise administration, architecture, and application development.
- Custom REST endpoints, alert actions, modular inputs, and third-party integrations.
- Data onboarding, source classification, field extraction, CIM alignment, and data normalization.
- Splunk DB Connect implementation for database observability and operational reporting.
- Search optimization, dashboard performance tuning, and knowledge object development.
- Build ETL and data enrichment pipelines using the Splunk platform and custom Python automation.
- Transform high-volume operational data into meaningful metrics and actionable intelligence.
- Develop analytics solutions for telecommunications, infrastructure, and enterprise operations.
- Design automated reporting frameworks that consolidate insights across multiple platforms.
- Monitoring and performance analysis for Microsoft SQL Server and Azure-based environments.
- Collection and visualization of database health, transaction, and performance metrics.
- Database auditing, telemetry collection, and operational trend analysis.
- Integration of database monitoring data into centralized observability platforms.
- Linux system administration and automation.
- Identity lifecycle management and infrastructure provisioning.
- Log management, syslog architecture, authentication monitoring, and security auditing.
- Containerized development and testing environments using Kubernetes, KVM, and virtualization technologies.
- Advanced database observability for MSSQL and Azure environments.
- Automated identity and access management workflows.
- Telecommunications analytics using Cisco Unified Communications Manager (CUCM) CDR data.
- Custom Splunk applications and operational tooling.
- Intelligent alerting, event correlation, and operational analytics.
My professional certifications, digital badges, and technical credentials are available through Credly:
Credly Profile: https://www.credly.com/users/caleb-mwema.2ab439d9
I continuously invest in expanding my expertise across observability, data platforms, cloud technologies, and enterprise infrastructure.
- Website: cmwema.com
- GitHub: cmwema
- Credly: caleb-mwema
- LinkedIn: cmwema
"Observability is not about collecting more data—it's about turning data into decisions."