Hiu-Chau L.

• Led a team to deliver and operate production batch data pipelines and platform capabilities using Python, SQL, and Apache Airflow, ensuring reliable and scalable data delivery across multiple downstream consumers. • Owned end-to-end production operations for data workflows, including monitoring/alerting, incident response, root cause analysis, and post-incident improvements, driving higher stability and predictable delivery. • Designed pipeline patterns and operational guardrails for backfills, retries, idempotency, and late-arriving data, improving correctness and reducing recurring operational issues. • Implemented data quality and governance practices (e.g. validation checks, schema change handling, and traceability) to ensure datasets are trusted, auditable, and fit for business-critical use cases. • Partnered with cross-functional stakeholders (engineering, operations, and security teams) to align pipeline priorities, manage dependencies, and deliver roadmap milestones with clear ownership and accountability. • Drove continuous improvements in maintainability and performance through refactoring, standardisation, and automation, reducing manual overhead and improving developer experience across the team. • Mentored engineers through code reviews, design discussions, and hands-on coaching, building a culture of operational excellence and high engineering standards. Tech stack: Python, SQL, Apache Airflow, Linux, Docker, Git, CI/CD

• Leading security automation efforts using SOAR tools including Phantom, XSOAR and Azure Sentinel to reduce manual work and speed up incident response. • Building custom Python scripts and APIs to connect tools, automate tasks, and improve SOC workflows. • Managing and tuning detection rules in SIEM (ELK, Wazuh), making sure alerts are accurate and actionable. • Configuring and maintaining SIEM/SOAR platforms to support day-to-day operations and future scalability. • Working closely with SOC, IR, and engineering teams to align automation with real-world security needs. • Supporting infrastructure with tools like Ansible and Docker on Ubuntu for consistency and automation. • Mentoring team members on automation best practices and helping drive continuous improvement.

• Design, develop computer systems, programs and integrations • Deploy, maintain and troubleshoot core backend application • Develop tools and maintenance procedure to monitor systems health, gather system statistics, and troubleshoot reported errors and alarms • Implement best practices for scalability, supportability, ease of maintenance, and system performance • Manage the setup and configuration of systems • Coordinate with internal parties to establish project scope and requirements • Translate highly technical specifications into non-technical requirement • Provide documentation of applications and processes as needed • Programming Language: C++, Perl, Python, etc • Platform: Windows, Oracle, MySQL, etc

• Design, develop computer systems, programs and integrations • Deploy, maintain and troubleshoot core backend application • Develop tools and maintenance procedure to monitor systems health, gather system statistics, and troubleshoot reported errors and alarms • Implement best practices for scalability, supportability, ease of maintenance, and system performance • Programming Language: C++, Perl, etc • Platform: Windows, Oracle, etc

• Responsible for the development of software according to customer’s requirement. Software is mainly digital forensic and security related. Functions include system and network data collection, large-scale data processing and analysis. • Programming Language: C++, C#. NET, Perl, etc • Platform: Windows, Windows Mobile, SQLite, MySQL, etc