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Lead cloud data engineering projects using Google Cloud and PySpark to build scalable data pipelines and analytics solutions for clients.
Senior Data Engineer builds and maintains Databricks pipelines for an AI-driven CRM platform, optimizing data flows, costs, and reliability to power global revenue intelligence from ERP/CRM sources.
Builds and maintains Azure-based data pipelines and lakehouse/warehouse solutions using Databricks, PySpark, and Microsoft data stack to power analytics and applications.
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Builds and maintains data pipelines on Azure using PySpark, ADB, ADLS, and ADF to process and transform large datasets for enterprise clients.
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
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.
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Designs and builds Azure-based data pipelines and models, turning business needs into scalable, analytics-ready data products for BI and reporting.
Builds and maintains data pipelines using PySpark, SQL, and Databricks to feed analytics and dashboards in Tableau.
Builds and tunes AI pipelines that ingest documents from systems like SharePoint, preps data for LLMs, and customizes model behavior for specific tasks.
Build and optimize scalable data pipelines, ML workflows, and AI systems on Databricks using Spark, Delta Lake, MLflow, and Mosaic AI.
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
Build and maintain scalable data pipelines using Python, PySpark, Databricks, AWS, and Snowflake to feed machine learning and GenAI workloads in a large Canadian insurer’s data science lab.
Senior Data Engineer builds and maintains scalable data pipelines and lakehouse models to power analytics, AI, and operational decisions for BC Ferries' transportation network using SQL, Python, and PySpark.
Build and maintain an AI-forward data platform using Databricks, Python, PySpark, and cloud services to power analytics and ML for life-sciences clients.
Builds, tests, and maintains Python-based systems for an insurance company, using SQL, PySpark, and cloud tools while ensuring data-processing quality.
Build and operate a cloud data platform on AWS and Databricks, owning infrastructure-as-code, CI/CD pipelines, and Spark streaming pipelines that power analytics and AI products.
Builds Java/Spring Boot microservices and REST APIs for healthcare analytics, using Databricks and Spark SQL to serve performant queries and ETL pipelines.
Senior role administering Databricks environments and developing enterprise Python applications to modernize data platforms and migrate legacy workloads.
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