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Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Builds and maintains ELT pipelines and Airflow workflows for a multi-jurisdiction financial data platform, ensuring data quality and automating reporting delivery.
Build and maintain financial data pipelines and reporting systems using PostgreSQL, Airflow, and ELT/ETL processes for a global trading platform.
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Senior Data Engineer builds and optimizes real-time financial data pipelines using Kafka, ClickHouse, and Python to power analytics for a fast-growing CFD/Forex broker.
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Designs, builds, and operates scalable data pipelines, models, and APIs to power property data solutions for internal and external users using modern cloud stack.
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Build and maintain property data pipelines, models, and APIs using BigQuery, Airflow, Kafka, and TypeScript/Python to power REA’s Prime platform and external data solutions.
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Leads data engineering projects for clients, designing scalable pipelines and mentoring teams while translating business needs into technical specs using tools like Airflow.
Designs and builds scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable data-driven decisions.
Build and maintain cloud-based data pipelines and warehouses for a property-management SaaS, enabling analytics and reporting across the business.
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