Emanuel Mallia
- 14+Years
- 4Functions Led
- 4Regulated Markets
14+ years, six chapters.
The path from Linux DBA to Head of Data. Each chapter is one piece of the foundation underneath today's work.
Telecoms & Financial
Data & IT Service Development
Linux server and Oracle database administration. IT systems development and product consultation. Building the foundation in infrastructure, database, and data that everything later would depend on.
Foundations
Gaming
Senior DBA & Application Support
Ran 60+ Windows and Linux servers and 50+ MySQL databases on VMware and Hyper-V, alongside PostgreSQL and MongoDB. Production support, root cause analysis, and automation deliveries with Python.
60+ servers
Telecoms
DevOps & Data Engineer → Senior
Spearheaded database and data architectures across PostgreSQL, MySQL, MongoDB, and the ELK Stack. Designed and automated data integrations, backup strategies, clustering, and replication pipelines. Built monitoring and observability with Grafana, Prometheus, and Zabbix.
Pipelines
Telecoms
Data Architect
Owned end-to-end data architecture design and database strategy across distributed systems. Led machine learning and AI integration initiatives, established platform best-in-class architecture, and built scalable data engineering practices.
End-to-end
Fintech
Data Architect
Delivered the end-to-end architecture for data and database design. Led the enterprise data warehouse build on AWS utilising S3, MWAA, dbt, Redshift, and PostgreSQL. Rebuilt the reporting estate so commercial decisions ran on accurate data, and shipped GDPR-compliant governance alongside.
Rebuilt
Fintech
Head of Data
Leading Data, Database, and Data Analytics end-to-end. Building ML and AI-powered data systems, mentoring data engineering teams, and driving data-driven innovation across the organisation.
Today
Frequently Asked Questions
Common questions about my work, expertise, and how I can help.
What is Emanuel Mallia's area of expertise?
Emanuel Mallia is an Enterprise Data & AI Leader with 14+ years of experience taking programmes from strategy through production. His expertise spans the full data lifecycle: database architecture, data warehouse design, ETL/ELT pipelines, real-time systems, and analytics platforms. On the AI side, he specialises in production AI systems, MCPs, AI agents, and LLM integration. His career spans fintech, telecoms, iGaming and payments, all regulated markets.
What is Emanuel Mallia known for?
Emanuel is known for practical, no-hype delivery. He builds production data platforms and AI systems, not demos, not POCs that never ship. His focus is on what actually works: scalable database architectures, reliable data pipelines, and AI implementations that deliver measurable ROI.
What data technologies does Emanuel Mallia work with?
Emanuel's data expertise includes cloud data warehouses (Redshift, Snowflake, BigQuery), data orchestration (Airflow, MWAA, Dagster), streaming systems (Kafka, Kinesis), databases (PostgreSQL, DynamoDB), and the modern data stack. He architects end-to-end data platforms from ingestion to analytics.
What AI technologies does Emanuel Mallia work with?
On the AI side, Emanuel works with LLM integration (Claude, GPT), Model Context Protocol (MCP) implementations, AI agents, vector databases, and production ML systems. His AI work is always built on solid data foundations.
What industries has Emanuel Mallia worked in?
Emanuel has delivered data and AI solutions across fintech, telecoms, iGaming and payments. His expertise is industry-agnostic, focusing on the patterns and architectures that work regardless of sector.
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Data platforms. AI systems. Real-world execution.