Senior Data / AI / ML Engineer

Candidate Description

A seasoned Principal Data Engineer with more than 24 years of experience, this professional blends deep cloud data-platform expertise with proven project-management leadership across consulting, financial-services and professional-services environments. They excel in architecting and delivering end-to-end data solutions on AWS, Azure and Databricks, leveraging CI/CD automation and strong stakeholder management to drive results. Their background spans roles at a Previous Employer, an Analytics Firm, a Technology Provider and a Consulting Firm, enabling them to navigate complex enterprise landscapes with ease.

Adept at large-scale data engineering, they have developed serverless pipelines using AWS Lambda, Glue Catalog and Athena, orchestrated real-time data streams with Kafka and Apache Spark, and engineered robust analytics platforms that support advanced machine-learning initiatives. Key achievements include reducing ingestion latency for analytics dashboards, attaining 95 % accuracy in multivariate statistical analysis in MATLAB, and leading geographically dispersed Agile teams to deliver AI-driven customer-experience solutions. Their toolkit spans Python, Scala, RESTful API development, SQL/T-SQL, CI/CD, ETL data integration and rigorous testing practices.

Combining hands-on technical depth with strategic leadership, this individual has served as Scrum Master, Project Manager and Solutions Architect, guiding teams of up to 70 professionals through the full SDLC. They champion continuous improvement, knowledge sharing and vendor collaboration, adapting swiftly to new challenges while ensuring high standards of quality and governance. Their holistic perspective and commitment to innovation position them as a valuable asset for organisations seeking to transform data capabilities and unlock actionable insights.