Data Integration and AI Lead – Azure & AWS

Candidate Description

With more than 15 years traversing cloud data engineering, analytics and artificial intelligence, this professional blends deep Azure, AWS and GCP expertise with a proven ability to modernise enterprise platforms. They have architected large-scale migrations, data lakes and AI solutions across consulting, retail, banking and government sectors, earning a reputation for strategic thinking and hands-on delivery. Certified in Microsoft Azure and recognised for strong stakeholder engagement, they consistently convert complex requirements into scalable, high-value outcomes.

Their technical acumen spans advanced ETL orchestration, Spark-based big-data processing and next-generation AI systems. Highlights include building a transformer-driven legal summarisation engine for a Consulting Firm, engineering a 3-million-title recommendation pipeline and multimodal chatbot for a Retail Company, and optimising a Financial Institution’s Synapse workloads for cost efficiency. Adept with tools such as Azure Data Factory, Databricks, Airflow, Snowflake and Power BI, they lead teams through Agile delivery, robust DevOps pipelines and rigorous testing frameworks to ensure reliability and performance.

Combining leadership with mentoring, this individual has guided cross-functional teams at a Financial Institution, an Energy Company and a Transportation Company, fostering knowledge-sharing and continuous improvement. Their adaptability across diverse domains—financial services, utilities, transportation and e-commerce—underscores a versatile problem-solver who accelerates digital transformation. Organisations benefit from their holistic vision, meticulous execution and commitment to delivering data-driven insights that power strategic decision-making.