Technical Consultant (Data/AI)

Candidate Description

With over five years steering data-driven initiatives across consulting and technology services, this professional excels at architecting and delivering scalable analytics platforms on AWS and Microsoft Azure. Their breadth spans data engineering, lakehouse modernisation and GenAI enablement, underpinned by strong programming expertise in Python, SQL and Spark, and hands-on experience within organisations such as a Consulting Firm, a Technology Provider and a Technology Company. Solid academic foundations, including an MSc in Analytics, reinforce deep analytical rigour and problem-solving capability.

Adept at large-scale data integration, they have implemented high-performance ETL pipelines using Azure Data Factory, AWS Glue, Databricks and Snowflake, incorporating advanced optimisation techniques that cut processing times by up to 60%. Their portfolio includes designing Medallion-architecture lakehouses, standing up Data Vault 2.0 frameworks, automating CI/CD with Azure DevOps and Jenkins, and provisioning cloud infrastructure via Terraform and CloudFormation. Notable achievements feature delivering Retrieval-Augmented Generation pipelines for conversational analytics, migrating 50+ Informatica jobs to AWS Glue with a 40% cost reduction, and orchestrating complex ADF workflows with robust error handling and lineage.

Combining technical depth with consultative leadership, they routinely collaborate with cross-functional stakeholders, mentor junior engineers and champion best-practice governance, data quality and DevOps. Adaptable across industries and project scales, they bring a proven ability to translate business requirements into production-ready, resilient solutions that drive insight, efficiency and innovation for clients and partners alike.