Senior Data Engineer

Candidate Description

With over 15 years navigating complex data-engineering landscapes, this professional excels in architecting cloud and on-premise data platforms that underpin business-critical analytics. They draw on deep expertise across Azure, AWS, Databricks and Snowflake to deliver scalable data lakes, robust ETL frameworks and high-performance reconciliation solutions for organisations such as a Major Retailer, an Energy Company, and a Technology Company. Their technical versatility is complemented by strong analytical acumen and a proven ability to translate business requirements into resilient, value-driven data architectures.

Adept at Azure Data Factory, Synapse Analytics, Delta Lake and DBT, they have orchestrated end-to-end pipelines, implemented CDC logic and automated CI/CD processes that significantly enhance data quality and operational efficiency. Key achievements include building a fully automated meter and SDR reconciliation framework at an Energy Company, implementing Snowpipe-based real-time ingestion for Weather Zone APIs, and redesigning legacy ETL processes to Snowflake and Redshift, resulting in marked performance gains. Their hands-on command of Python, PySpark, SQL and Airflow ensures rapid delivery while maintaining best-practice coding standards and governance.

Demonstrating leadership as a Senior and Lead Data Engineer, they mentor cross-functional teams, guide solution design workshops and collaborate effectively with stakeholders to resolve complex data challenges. Their adaptability across energy, retail, consulting and financial-services sectors, combined with formal IBM DataStage certification and an MSc in Information Systems, positions them as a versatile, results-driven specialist who consistently drives data-driven transformation and delivers tangible business value.