Alex Howard
I'm Marcus Alex-Ivan Howard, a backend engineer with a decade of experience designing, building, and operating production systems that process real-world data reliably at scale.
About
I’m Marcus Alex-Ivan Howard, a backend engineer with a decade of experience designing, building, and operating production systems that process real-world data reliably at scale. I focus on data collection and processing systems, event-driven architectures, and cloud infrastructure, and I own services end-to-end—from design and implementation to deployment, monitoring, and iteration. I have worked in highly regulated and correctness-critical domains, including financial services, environmental data, and public-sector reporting, always aiming for clarity, robustness, and long-term maintainability.
In leadership and individual contributor roles, I’ve built data pipelines, designed schemas for both relational and graph databases, and led cross-functional collaborations with product and frontend teams in agile, remote environments. I value auditability, reproducibility, and transparent analysis, prioritizing pragmatic engineering that stands up to real-world use while remaining adaptable for future requirements.
- 14 years' experience
- Joined February 2026
Languages
- EnglishFluent
- AfrikaansFluent
Industry experience
- Financial Services
- Energy & Utilities
- Government
- Professional Services
- Software & Internet
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Work experience· 5 roles
Developed backend infrastructure and services for a Web3 marketplace for tokenised climate impact assets. Built event-driven backend components and APIs supporting transaction processing and data persistence. Worked with relational databases and cloud infrastructure to ensure reliability and scalability of backend services. Collaborated closely with product and frontend teams in an agile, remote-first environment.
Led design and implementation of backend and frontend systems for monitoring, reporting, and verifying impact from distributed data sources. Built containerised backend services with Go and Python, emphasizing reliability and auditability. Designed data schemas for relational and distributed graph databases; implemented data pipelines focused on statistically sound analysis, reproducibility, transparency, and auditability. Took full ownership of backend components from system design through deployment and iteration in production environments.
Designed and implemented end-to-end, cloud-based systems integrating sensor data ingestion, real-time monitoring, remote processing services, and distributed ledgers. Developed real-time monitoring hardware modules and mobile data retrievers (Android). Designed and implemented Web3 data pipelines supporting near real-time data collection and analysis.
Education
Certifications and awards
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