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Design and optimize scalable ETL/ELT pipelines on Microsoft Azure and Fabric to build Lakehouse, data warehouses, and models for investment analytics in asset/wealth management.
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
Lead the design and implementation of a modern AWS cloud-native data platform for a UK charity, shaping data lakehouse architectures, pipelines, and governance to drive operational and analytical insights as part of a five-year digital transformation strategy.
Designs and leads enterprise-grade data platforms, integrating AI/data engineering with cloud technologies (Azure/AWS/GCP) to deliver scalable, secure, and future-proof solutions for clients.
Designs, builds, and optimizes data pipelines on Databricks and AWS to power UK healthcare systems, ensuring scalability, security, and compliance with NHS standards.
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Design and build scalable data pipelines on the Databricks Lakehouse Platform for clients, translating business needs into production-grade data solutions.
Builds and maintains batch/near-real-time data pipelines while designing a Databricks Lakehouse architecture to support analytics and modeling in a fintech environment.
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Develops and optimizes data platforms and ELT pipelines on Databricks Lakehouse, using SQL, Python, PySpark, and Delta Lake to integrate data sources and deliver consulting solutions from design to production.
Develops and optimizes Databricks Lakehouse-based data platforms and ELT pipelines, implementing data models (Data Vault, 3NF, dimensional) and integrating diverse data sources while advising clients on technical architecture and deployment processes.
Designs and implements scalable data architectures using Databricks (Delta Lake, Unity Catalog) to solve complex data challenges for clients in healthcare, finance, and government. Leads technical teams, mentors engineers, and drives cloud-native data solutions with Python/Java and modern data workflows.
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
Lead a team to build and maintain scalable, secure data platforms and pipelines in the cloud, enabling analytics and AI across a financial-services company.
Builds and optimizes AI-powered data pipelines in Python, SQL, Databricks, and Azure Data Factory for lakehouse architectures.
Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Builds and maintains data pipelines in Azure Lakehouse, transforms raw financial data into BI-ready models, and creates Power BI dashboards for a fintech client.
Lead a team of data engineers in Kuala Lumpur to build and govern K3 Advisory Group’s Azure-based data platform, integrating third-party data and AI/LLM products while enforcing strict security and regulatory standards.
Designs and maintains scalable data pipelines and lakehouse architectures using Databricks and PySpark for analytics and AI/ML workloads.
Builds and maintains data pipelines, lakehouse infrastructure, and BI tools for a Malaysian fintech firm, using Azure PaaS, Power BI, and Python/SQL to transform raw data into actionable insights for end users.
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