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Lead a team to design and maintain enterprise-scale data pipelines and warehouses using ETL/ELT tools, SQL, and cloud platforms to support insurance operations.
Leads architecture and builds scalable, secure data pipelines on GCP/BigQuery for batch and streaming workloads while mentoring engineers.
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
Lead the design and build of scalable data pipelines that transform messy marketing data into clean, model-ready datasets for an AI-powered Marketing Mix Modelling platform.
Design and implement scalable data engineering and warehousing solutions on Databricks, guiding customers through cloud transformations and enabling BI workloads.
Designs and builds Azure Fabric data pipelines for healthcare analytics using medallion architecture (Bronze/Silver/Gold layers).
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
Build and maintain scalable data pipelines and cloud-native analytics platforms for a major securities exchange, using Python, Spark, AWS Glue, Redshift, and CI/CD practices.
Designs and implements Azure Fabric-based ETL pipelines, ingesting and transforming data into medallion layers while building monitoring and reconciliation jobs.
Design and build cloud-based big data pipelines and data warehouse integrations using AWS, Spark, Python, and SQL for enterprise clients.
Design and implement data pipelines and governance frameworks using Python, Databricks, Snowflake, and cloud services (Azure, AWS, GCP) for a new data platform.
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s reporting and AI needs.
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Build and maintain the firm’s Microsoft Fabric-based data platform, creating scalable pipelines and models to power analytics and AI tools across the legal practice.
Build and maintain secure data pipelines in Microsoft Fabric/Azure, curate trusted datasets for analytics, and implement governance and quality controls for an enterprise data platform.
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