Hands-on Head of Engineering | DevSecOps | Software Architect | Platform, Data & Secure Delivery
I lead engineering teams and build systems in regulated financial services—combining technical leadership, software architecture, and hands-on implementation when needed. My work focuses on platform reliability, secure delivery, and scalable data systems that support mission-critical operations.
I’ve led teams of up to 9 engineers across 16 active projects, helping deliver platforms that process 566M+ records and 1.4TB+ of data monthly.
I operate at multiple levels—from engineering strategy and delivery governance to architecture, coding, and production reliability. I work in high-stakes, compliance-driven environments where systems must be scalable, observable, secure, and audit-ready.
- Hands-on Head of Engineering in a regulated financial services environment
- Led teams of up to 9 developers across 16 active projects
- Drive technical strategy, architecture decisions, and execution quality
- Stay involved in implementation when needed (architecture, debugging, high-impact technical work)
- Build engineering discipline through delivery standards, CI/CD practices, and cross-functional coordination
- Use structured leadership operating cadences (including EOS Level 10 / L10-style accountability and issue-solving)
- Engineering leadership in regulated / compliance-heavy environments
- Software architecture for enterprise systems and data platforms
- Platform reliability, operational resilience, and production readiness
- Technical decision-making, system design, and architecture governance
- Delivery governance, release controls, and cross-functional execution
- CI/CD pipeline design and release automation (GitLab CI/CD, GitHub Actions)
- DevSecOps practices: security scanning, code scanning, dependency/vulnerability checks
- Observability and monitoring (CloudWatch, Datadog, Grafana, Sentry)
- Secure deployment controls and release governance
- Audit readiness: control evidence preparation, remediation tracking, and delivery process alignment for external audits
- Medallion architecture (bronze / silver / gold) and modern data lake design
- Large-scale ETL pipelines with audit trails, validation frameworks, and SCD Type 2 tracking
- Golang ETL pipelines (including
parquet-gofor Parquet writing) and Python-based data workflows - High-volume querying / validation / transformation using DuckDB, Polars, Pandas, and PySpark
- Data quality controls, reconciliation, and error handling at scale
- Air-gapped and regulated deployment environments
- Backend/API development: PHP, Python, Node.js, TypeScript, Go
- Frameworks: Laravel, Express, Fastify, NestJS, Gin
- Enterprise integrations: payment gateways, ERP/accounting platforms, third-party APIs
- Multi-tenant and compliance-driven application design
- API orchestration, webhooks, and system interoperability
Cloud & Platform: AWS, GCP, Alibaba Cloud, DigitalOcean, Vercel
DevOps / SRE: Docker, Kubernetes, Helm, Nginx, Apache, GitLab CI/CD, GitHub Actions, Bitbucket Pipelines, CloudWatch, Datadog, Grafana, Sentry
DevSecOps / AppSec: SAST, SonarQube, dependency/vulnerability scanning, CI/CD security gates, secure SDLC practices
Data Engineering: Apache Spark, Delta Lake, PySpark, DuckDB, Pandas, Polars, medallion architecture
Languages: Go, Python, PHP, JavaScript, TypeScript, SQL, Solidity
Backend / Frameworks: Laravel, Symfony, Node.js (Express/Fastify/NestJS), Go (Gin)
Databases: PostgreSQL, MySQL, MSSQL, MongoDB, DynamoDB
- Enterprise Data Lake (Medallion Architecture): Architected and delivered a bronze/silver/gold data platform processing 1.4TB+ monthly with audit trails, validation frameworks, and SCD Type 2 tracking
- Large-Scale ETL Engineering: Built ETL pipelines using Golang (
parquet-go) and Python for ingestion, transformation, and data quality validation at scale - Data Querying & Validation Workflows: Leveraged DuckDB, Polars, Pandas, and PySpark for efficient querying, validation, transformation, and analytics across large datasets
- DevOps / DevSecOps Enablement: Implemented CI/CD, observability, release governance, and security controls to improve deployment reliability and secure delivery
- Audit-Ready Engineering Delivery: Ensured engineering audit readiness through evidence preparation, control alignment, and remediation tracking that supported successful external audits
- Platform engineering and production reliability
- DevOps / DevSecOps and secure software delivery
- Large-scale data engineering and data platform architecture
- Fintech / regulated systems engineering
- AI-assisted engineering workflows (practical, team-focused use cases)
I’m always open to discussions around:
- Engineering leadership (hands-on)
- Software architecture and platform reliability
- DevSecOps and audit-ready delivery
- Data platforms, ETL, and large-scale processing
- Fintech systems and compliance-driven engineering
Building systems that scale. Leading teams that deliver. Staying hands-on where it matters.