Data & Analytics Team Lead

Candidate Description

With more than seven years delivering data engineering solutions across consulting, financial services and not-for-profit sectors, this professional excels at architecting modern analytics platforms in Azure, AWS and GCP environments. They combine deep expertise in data lakehouse design, ETL/ELT development and real-time streaming with a passion for continuous learning and team mentorship, consistently applying best-practice Agile and DevOps methodologies.

Their technical acumen spans Python, Scala and Java programming, Apache Airflow orchestration, Spark optimisation, and cloud-native services such as Azure Synapse Analytics, Azure Data Factory and Snowflake. Key achievements include leading the build of a consolidated lakehouse for a Not-for-Profit Organization, optimising Spark jobs for a Financial Institution’s enterprise data platform, and integrating HubSpot and SAP HANA datasets into a high-performance Synapse warehouse at a Technology Solutions Provider. Experienced with CI/CD, Terraform and Azure DevOps pipelines, they ensure repeatable, secure and high-quality data delivery.

Demonstrating strong leadership as a Data & Analytics Team Lead and previously as a Lead Data Engineer, they have guided multidisciplinary squads, instituted coding standards and driven stakeholder engagement through regular demos and workshops. Adept at translating complex requirements into scalable architectures, they bring a versatile, results-oriented mindset that accelerates data-driven decision-making and organisational value.