Varun Mathukumalli

Senior technical lead for observability, monitoring, and reliability engineering supporting Verizon's most critical enterprise customer service platforms (24x7 availability, millions of transactions daily). 🔹 OBSERVABILITY & AIOPS - Configured ML-based alerting in Kibana using Machine Learning Jobs to detect anomalous patterns in application logs and infrastructure metrics - Established anomaly detection alert policies in New Relic to surface statistical deviations in throughput, error rates, and latency before customer impact — reduced MTTD by 35% - Architected Grafana dashboards aggregating real-time telemetry from Prometheus, Elasticsearch, SQL Server, and CloudWatch — delivering golden signal visibility (latency, traffic, errors, saturation) - Engineered Python scripts to automate real-time database and application performance alerting — reduced MTTD by 45% - Currently architecting an agentic AI solution for automated system health checks using LLM-based agents 🔹 SECURITY MONITORING - Implemented real-time security monitoring alerts for brute force attacks, SQL injection patterns, and API abuse using Kibana alerts & security dashboards - Correlated authentication logs, firewall events, and application access patterns to trigger automated incident response workflows — reduced security event response time by 40% 🔹 CLOUD & INFRASTRUCTURE - Automated backup, monitoring, and failover processes using PowerShell and SQL Server Agent — reduced downtime by 30% 🔹 DATABASE ADMINISTRATION - Designed, optimized, and administered SQL Server, Oracle, PostgreSQL, and Cassandra databases — improved query performance by 35%+ through indexing strategies and execution plan analysis - Implemented RBAC, monitoring, and alerting to strengthen governance and security posture Tools: Kibana, Grafana, New Relic, Splunk, Prometheus, CloudWatch, Python, AWS, Docker, SQL Server, Oracle, PostgreSQL, Cassandra

Technical leadership for clinical reporting and analytics environments supporting hospital operations and clinical research at the New York State Psychiatric Institute (Columbia University Irving Medical Center). - Deployed and managed AWS infrastructure (EC2, S3, RDS, IAM, CloudWatch) — reduced on-premise costs by 20% - Managed SQL Server 2016-2022 and Oracle data warehouse platforms delivering HIPAA-compliant datasets to researchers and clinicians - Designed and maintained Always On Availability Groups (AAG) and failover clustering — achieved 99.99% uptime for mission-critical clinical data systems - Provided day-to-day supervision for staff supporting clinical reporting and data platforms - Established access controls and audit procedures to strengthen data governance and HIPAA compliance Tools: SQL Server, Oracle, Always On Availability Groups, HIPAA compliance, clinical data systems

Lead database administrator and data architect for the NY AIDS Drug Assistance Program (ADAP), supporting statewide clinical and research analytics. - Designed and maintained HIPAA-compliant SQL Server clinical data warehouse integrating pharmacy claims, primary care claims, eligibility systems, and EDI transactions (835/837) - Developed and optimized complex SQL views, stored procedures, and ETL/ELT workflows supporting federal research reporting and grant compliance (RSR, ADR) - Developed Unix shell scripts on Solaris servers to automate ETL via DMX Batch Jobs — reduced manual processing time by 60% and eliminated overnight batch failures - Worked extensively with Epic-derived clinical and claims data (ICD-10, CPT, encounter-level data) - Led windows server migrations from Windows Server 2012 to 2019 with zero data loss Tools: SQL Server, Oracle, Solaris Unix, DMX Batch Jobs, ETL/ELT, Epic, HIPAA, Python scripting

- Improved data retrieval efficiency by 45% through schema redesign and query performance tuning - Led database migrations from SQL Server 2012 to 2019 with zero data loss

- Designed and implemented relational databases in SQL Server and Oracle — improved data organization efficiency by 75% - Developed analytical datasets, reports, and visualizations supporting environmental research and policy development - Integrated SQL Server with ArcGIS for spatial research analytics Tools: SQL Server, Oracle, ArcGIS