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Builds scalable Java/Python microservices on Azure, using AI tools to automate coding, testing, and DevOps while improving engineering productivity.
Builds scalable FastAPI services in Python that expose data models and ML models on Databricks, integrating with Azure and MLOps tooling for a global fintech team.
Build and scale ML infrastructure for a quantitative trading firm, designing feature stores, MLOps pipelines, and data lakes to support petabyte-scale time-series models in low-latency environments.
Lead a team to architect and build a modern, scalable Azure/Databricks data platform handling industrial sensor data, while mentoring engineers and collaborating with data scientists.
Principal Data Engineer designs and builds scalable data pipelines on Databricks/AWS or Azure, using PySpark, SQL, and Delta Lake to migrate customers to cloud data platforms.
Build and optimise cloud-first data pipelines using Azure Data Factory, Synapse, and Databricks to support analytics and AI for UK industries.
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Python/Scala with Spark, Azure, and Databricks to power analytics and ML at ASOS.
Build cloud-native apps in C#/.NET on Azure, design Microsoft Fabric data architectures, and integrate LLMs—while troubleshooting production systems in a fast-paced startup.
Build and optimize Azure-based ETL pipelines with Databricks and Spark, migrate SSIS to cloud, and design secure data lakes for analytics and reporting.
Build and maintain scalable data pipelines on Databricks Lakehouse for JPMorgan’s Payments Technology team, enabling trusted datasets and governed data products.
Build and maintain scalable cloud data pipelines for an automotive intelligence platform using Azure, Databricks, PySpark, and Delta Lake, integrating AI features to support dealerships worldwide.
Lead the design and delivery of cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance operations.
Lead a team engineering cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance systems.
Design and deploy enterprise-scale GenAI, RAG, and agentic AI solutions for a global energy trading firm, using Azure OpenAI, Databricks, and LangChain to automate workflows and enhance decision-making.
Design and build cloud-native data pipelines using Azure Databricks, SQL, Python, and Delta Lake for large-scale analytics and warehousing.
Senior Consultant designs and delivers modern data platforms using Microsoft Fabric, Azure Databricks, and Power BI, leading client engagements to turn data into business insights.
Principal AI Data Engineer builds and deploys GenAI/AgenticAI systems on Azure and Databricks, focusing on RAG, AI agents, and scalable workflows.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Builds Python backend services and React frontends that connect to Databricks SQL and Delta Lake, writing ETL pipelines with PySpark and optimizing cloud costs on Azure/AWS.
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