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Designs and optimizes Microsoft Fabric data lakes and an enterprise data warehouse, building scalable ETL/ELT pipelines and integrating data from Ellucian Banner ERP.
Lead a team of data engineers building and optimizing Databricks-based cloud data platforms to deliver business insights using Lakehouse architectures and AWS.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Lead a team building scalable data platforms and pipelines on Azure Databricks to power AI and analytics, while partnering with business teams to turn data into measurable growth.
Lead a team to design and maintain Azure-based data pipelines using ADF, Databricks, and PySpark, ensuring scalable ETL/ELT and robust data governance for analytics and AI teams.
Lead a team building and optimizing large-scale data pipelines for fraud detection and analytics using Spark, Kafka, and Python/Java in a fintech setting.
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Lead a team building and scaling healthcare data pipelines and infrastructure using SQL, Python, and modern data tools to ensure quality and security.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Lead the design and development of Azure-based data pipelines and warehouses for Manulife’s wealth and asset management systems, using PySpark, Synapse, and ETL processes.
Leads Azure-based data engineering and BI systems, building data warehouses and ensuring compliance with SQL, Python, and project management skills.
Lead cloud data engineering projects using Google Cloud and PySpark to build scalable data pipelines and analytics solutions for clients.
Lead a team to build and optimize Faire’s core data infrastructure and BI systems, ensuring reliable, high-quality analytics that power product features for small and medium businesses.
Leads data engineering for a game-commerce platform, building reliable pipelines between Snowflake, Postgres, Kafka, and API Gateway to power analytics and ML while enforcing data governance across the org.
Lead the design and build of scalable Azure data pipelines and data lake solutions using Databricks, PySpark, and SQL to migrate and process enterprise data.
Lead Venn’s data infrastructure, building robust ETL pipelines and analytics models to power business decisions across operations, finance, and marketing.
Lead a team to design and implement cloud-based data engineering solutions using Python/Java/Scala, focusing on data warehousing, ETL, and modern data platforms.
Lead a team to design and build RBC’s Snowflake-based cloud data lakehouse, owning pipelines, performance tuning, and data quality while collaborating with architects and business stakeholders.
Lead a team to design and build scalable data platforms, ETL/ELT pipelines, and AI-enabled solutions on Azure and on-premise, supporting Ethoca’s fintech payments infrastructure.
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
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