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Enterprise Data & AI Leadership

Emanuel Mallia

Leading enterprise Data & AI mandates from strategy through production. Data platforms, governance and AI systems built for regulated businesses in fintech, telecoms, iGaming and payments.

PostgreSQLMySQLOracleSQL ServerAWS RedshiftSnowflakeApache AirflowdbtApache SparkApache KafkaKubernetesDockerTerraformAnsiblePythonMongoDBElasticsearchDataDogGrafanaPrometheusLangChainVector DBsMCPAI AgentsLLMsRAG PipelinesMulti-Agent SystemsAnthropic ClaudeData MeshReal-time PipelinesMLOpsELK Stack
PostgreSQLMySQLOracleSQL ServerAWS RedshiftSnowflakeApache AirflowdbtApache SparkApache KafkaKubernetesDockerTerraformAnsiblePythonMongoDBElasticsearchDataDogGrafanaPrometheusLangChainVector DBsMCPAI AgentsLLMsRAG PipelinesMulti-Agent SystemsAnthropic ClaudeData MeshReal-time PipelinesMLOpsELK Stack

Key Achievements

Enterprise

Data & AI Mandate

strategy, governance, platform and delivery under one owner

Functions Led

data engineering, databases, analytics and AI

Adopted

As Gold Standard

the delivery approach the business standardised on

Regulated

Markets

fintech, telecoms, iGaming and payments

Expertise

End-to-end delivery, from data infrastructure to the AI layer that sits on top.

01Data

Data & Database Architecture

Database selection, warehouse and lakehouse design, real-time pipelines, and the analytics layer that sits on top. Built for scale and query performance.

02AI

AI Delivery & Integration

AI agents, RAG pipelines, multi-agent systems, LLM integration, and MCP, built on solid data foundations. Production systems that run past the proof-of-concept.

03Lead

Technical Leadership

Data strategy, team building, and hands-on delivery. Turning technical complexity into outcomes the business can act on.

Working systems over presentations. Production over proof of concept.

Production over proof of concept. From data architecture to AI delivery, the bar is what ships.

Start the Conversation

From data architecture to AI delivery, with a focus on execution, scale, and production readiness.