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Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
Design and maintain AI-ready data architectures, including vector and graph databases, to power retrieval-augmented generation systems and enterprise analytics for investment and market intelligence.
Intern to map, analyse, and catalogue production data from renewable energy projects and identify AI use cases for construction management.
Builds SQL-based ETL pipelines to migrate and validate banking data, using Hive and Impala for large-scale processing in Singapore.
Build and maintain data pipelines, models, and Power BI dashboards to deliver reliable healthcare analytics and reporting for hospital operations and decision-making.
Design and deploy containerized data pipelines on OpenShift for banking analytics, using Spark, Hadoop, and Python to transform and enrich financial data for ML and reporting.
Build and maintain scalable data pipelines in Databricks/Snowflake, ingest external financial data, and enforce data quality and governance for a fintech platform.
Design and run Databricks-based data/ML platforms on AWS for a financial-crime product, focusing on governance, security, and DevSecOps rather than Spark coding.
Build full-stack audit/compliance reporting tools in React/TypeScript and Java/Kotlin/Python, enabling stakeholders to generate, review, and deliver audit-grade reports with AI-assisted workflows.
Build and validate Power BI dashboards, semantic models, and curated datasets in Microsoft Fabric, tracing data from SQL sources to ensure accuracy for business reporting in an AEC/ERP-driven firm.
Build and scale ETL/ELT pipelines in PySpark and SQL, model enterprise data, and ensure quality and lineage for downstream analytics at a large IT consultancy.
Design and build enterprise-scale data pipelines and warehouses to unify operational data for analytics and AI in Basel.
Build and maintain secure data pipelines and models for financial clients using Databricks or Snowflake, ensuring reliable, production-ready data solutions in regulated environments.
Designs and builds scalable, secure data platforms and pipelines using SQL Server, SSIS, Snowflake, and cloud-native services for enterprise analytics and governance.
Build and maintain data quality frameworks and pipelines, enforcing standards across systems and mentoring teams to ensure reliable enterprise data.
Design and maintain data quality frameworks, rules, and automated checks to ensure enterprise data accuracy and reliability across systems.
Design and deliver modern data platforms for clients, assessing architecture maturity and defining roadmaps for governance, migration, and cloud enablement in a consulting role.
Designs and maintains healthcare data architecture to ensure secure, scalable, and interoperable systems for clinical, financial, and analytical needs in Saudi Arabia.
Build and maintain large-scale data pipelines and ETL components in Java/Scala, using Spark for batch/streaming processing to support enterprise clients in media, healthcare, and tech.
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