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Designs and builds data pipelines and AI solutions on Databricks, focusing on ETL/ELT, data integration, and automation to support business services.
Designs and builds scalable data pipelines, cloud-native data platforms, and production-grade AI solutions in Python/SQL on AWS, partnering with data scientists to industrialize models.
Builds and maintains data pipelines and warehouses for a global fundraising program, integrating CRM, payments, and marketing data.
Designs and maintains data pipelines and platforms for a tissue/paper industry partner, integrating factory systems and enabling analytics and AI use cases.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Design and build scalable GCP-based data pipelines and platforms, handling batch/streaming ingestion, transformation, and orchestration with BigQuery, Dataflow, and Airflow.
Designs and builds cloud-based data pipelines and ETL/ELT processes to ingest, transform, and integrate customer data for analytics and AI use cases using Databricks, GCP, Azure, SQL, and Python.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to enable analytics and AI workloads for enterprise systems.
Build and maintain data pipelines, ETL workflows, and a modern Data Lake using Spark, Airflow, Delta Lake, and Parquet to power analytics and business intelligence for an energy/utilities company.
Build and maintain data pipelines and models to integrate business and manufacturing data, ensuring reliability and security for reporting and AI use cases.
Senior Data Engineer builds and maintains scalable data pipelines and cloud analytics platforms for a new Medical Analytics function, integrating healthcare data and supporting AI initiatives.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
Designs and builds data pipelines, ETL/ELT workflows, and scalable Lakehouse architectures on Databricks using Python, Spark, and Delta Lake.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Designs and builds cloud-based ETL/ELT pipelines and data models to ingest, transform, and analyze customer data for marketing and CRM use cases using Python, SQL, Spark, and Databricks.
Designs and builds cloud-based data pipelines and ETL processes to ingest, transform, and model customer data for analytics and AI use cases in sectors like finance, media, and energy.
Designs and implements cloud-native big data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Design and build scalable data pipelines and analytics solutions on Google Cloud Platform, focusing on BigQuery, Dataform, and LookML to enable data-driven decision-making for clients.
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