Edward Hart-Lorenzetti
Huntington Beach,CA
Summary
Senior Data and Platform Engineering leader with 20+ years of experience designing, operating, and improving enterprise-scale analytics, database, and integration platforms. Proven ability to lead operational teams, drive platform strategy, and align technology services with business objectives across large, regulated environments. Experienced in overseeing data platforms supporting analytics, reporting, and telemetry workflows while mentoring teams and delivering scalable, cost-effective solutions.
Overview
27
27
years of professional experience
Work History
Principal Security Engineer (Security Architecture / Automation / Platform)
Business
Irvine, CA
10.2025 - Current
- Lead technical strategy and execution for enterprise Splunk and XSOAR initiatives, aligning observability, security operations, and automation across multiple programs.
- Own architectural direction for enterprise observability and data platform services spanning ingestion, normalization, and analytics workflows.
- Architect scalable telemetry pipelines and optimize data routing and normalization to support detection, compliance, and observability.
- Drive automation and platform standardization for data onboarding, enrichment, and operational resilience using Python, Ansible, and workflow automation.
- Define Splunk ingestion strategy, index architecture, and detection workflows to support enterprise monitoring and analytics.
- Defined platform standards and operational patterns to improve scalability, reliability, and governance alignment across enterprise data services.
- Partner with security, engineering, and operations teams to translate business and compliance requirements into scalable technical solutions.
- Mentor and develop engineers on SIEM engineering, automation practices, and secure-by-design architecture.
Principal DevOps Engineer / Data Engineering Lead
Business
Irvine, CA
11.2023 - 10.2025
- Led design and automation of data platforms supporting FAA FENS and enterprise programs, enabling operational reporting, audit readiness, and security visibility.
- Designed and implemented Python- and SQL-based data pipelines integrating CMDB, change management, billing, and reporting systems.
- Built MySQL-backed dashboards and analytics used by engineering, compliance, and leadership teams.
- Led low-level design (LLD) efforts for Splunk, defining ingestion architecture, index strategy, data models, and detection workflows.
- Developed and tuned Splunk dashboards and searches leveraging NetFlow, SNMP, and system telemetry.
- Automated security compliance reporting, validation, and enrichment using Python and shell scripting.
- Partnered with security and engineering teams to embed secure-by-design practices into deployments.
- Mentored engineers on automation, SIEM fundamentals, and secure operations.
- Supported operational roadmap planning and cross-functional alignment for data platform services and enterprise reporting capabilities.
Lead Data Scientist
Business
Irvine, CA
05.2010 - 11.2023
- Architected and operated large-scale data ingestion and analytics platforms across 45,000+ network devices.
- Designed database-backed monitoring systems integrating Oracle, MySQL, and custom data stores for performance, capacity, and security analysis.
- Performed proactive analysis and threat-hunting-style investigations using NetFlow, SNMP, and log data.
- Built advanced analytics and Splunk searches supporting investigations, trend analysis, and operational resilience.
- Led incident investigations spanning network, application, and data-layer failures; produced RCA documentation and remediation plans.
- Delivered a custom monitoring and data optimization platform saving $500K annually while improving observability and detection fidelity.
- Collaborated with leadership on data strategy, risk reduction, and scalability.
- Conducted exploratory data analysis to uncover trends and patterns in large datasets.
- Mentored junior team members, contributing to their professional growth and development as successful data scientists.
- Identified opportunities for cost reductions by analyzing operational inefficiencies using advanced analytical methods.
- Developed predictive models to analyze complex datasets for business insights.
Data Scientist
Business
Irvine, CA
05.2003 - 05.2010
- Designed scalable database-driven analytics systems supporting 15,000+ endpoints.
- Managed 25+ Oracle databases and automated ingestion, reporting, and alerting workflows.
- Built analytics, detection scripts, and reporting pipelines using Python, R, and shell scripting.
- Supported disaster recovery and operational continuity efforts.
- Analyzed data sets to identify trends and patterns for informed decision-making.
- Collaborated with cross-functional teams to understand data requirements and deliver actionable insights.
- Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
Senior NMS Engineer / Tech Support
Inc.
Pasadena, CA
01.1999 - 01.2002
- Developed monitoring, analytics, and security tooling in NMS environments (eHealth, Netcool, Spectrum).
- Automated log parsing, anomaly detection, and compliance reporting.
- Served as Tier 2/3 escalation support for complex incidents.
- Implemented automated systems to improve accuracy and efficiency of engineering processes.
- Trained and mentored junior engineers, providing guidance and direction.
Education
Skills
- Data Platforms & Databases: MySQL, Oracle, Ingres, ETL/ELT pipelines, schema design, data modeling, automated reporting
- Platform Architecture & Operations: Enterprise platform services, standards, governance alignment, operational reliability, scalability planning
- Integration & Automation: Python, Bash, SQL, Ansible, workflow automation, APIs, platform standardization
- Leadership: Technical leadership, mentoring, cross-functional collaboration, executive communication
- Infrastructure & Systems: Linux/Unix (RHEL, Ubuntu, Solaris), VMware (vSphere, NSX), virtualization
- Analytics & Observability: Splunk (SPL, dashboards, correlation searches, data models), telemetry strategy, operational monitoring
- Security Architecture & Compliance: Secure-by-design patterns, STIG hardening, encryption (TLS/IPsec), IAM/MFA concepts, audit readiness
- Security Operations & IR: Incident response (NIST/SANS), root cause analysis, threat hunting, security investigations
Clearance Status
- U.S. Person
- Public Trust
- Eligible for Secret / TS sponsorship
Timeline
Principal Security Engineer (Security Architecture / Automation / Platform)
Business
10.2025 - Current
Principal DevOps Engineer / Data Engineering Lead
Business
11.2023 - 10.2025
Lead Data Scientist
Business
05.2010 - 11.2023
Data Scientist
Business
05.2003 - 05.2010
Senior NMS Engineer / Tech Support
Inc.
01.1999 - 01.2002