Jashan

Observability Engineer and Dynatrace SME with 5 years of experience translating operational and business requirements into Dynatrace architecture, implementation and production-ready standards for enterprise banking platforms. Hands-on delivery across hybrid on-premises and cloud environments spanning OpenShift, AWS Lambda, IBM WebSphere, microservices, databases and frontend layers. Experienced with Dynatrace APIs, automation, synthetics, DQL, Grail, OpenPipeline, platform modernization and knowledge transfer.

Observability Specialist - Dynatrace SME at Bank (2025-11 – Present) Translate requirements and problem statements into Dynatrace solution architecture, hands-on implementation and operationalized standards; advise SRE, DevOps and application teams throughout delivery.

• Lead hands-on Dynatrace observability engineering for enterprise banking applications across large-scale on-premises and cloud environments, supporting microservices, AWS Lambda, OpenShift, IBM WebSphere, databases and frontend layers.
• Designed and implemented end-to-end Dynatrace observability solutions using OpenPipeline, DQL, Grail, metric extraction, anomaly detection and Workflows for complex business and operational requirements.
• Engineered advanced DQL/Grail solutions for cross-signal correlation, custom alerting logic and application-aware reliability metrics.
• Developed Python and Dynatrace API automation to standardize platform operations and reduce error-prone manual configuration.
• Migrated Classic dashboards to Gen3 and legacy metric events to modern anomaly detection, delivering operational and executive views of availability, reliability, performance and business KPIs.
• Provide knowledge transfer and mentoring on DQL, Dynatrace platform capabilities, troubleshooting methods and reusable implementation patterns.

SRE - Observability & Production Support at Bank (2021-09 – 2025-10)

• Supported customer-facing online and mobile banking using Dynatrace and ELK for performance analysis, distributed transaction tracing, log investigation and production incident response.
• Resolved a prolonged, financially significant performance incident through method-level analysis, showing that file I/O consumed about 98% of request time and pinpointing the source method.
• Implemented Bank's first production Dynatrace synthetic browser monitor for a retail banking journey.
• Created JavaScript and JSON synthetic scripts, tested false-positive and false-negative scenarios, improved alert accuracy and validated Dynatrace-to-ServiceNow incident routing.
• Automated synthetic-monitor migration between tenants with Dynatrace APIs and built post-deployment health dashboards.
• Investigated application and infrastructure incidents, identified PII exposure in logs, debugged Java and JavaScript behavior and documented end-to-end transaction flows.

Diploma in Computer Programming – Algonquin College (2019 – 2021)