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Build and optimize a large-scale INSAR geospatial data pipeline in Python/C, orchestrating cloud/HPC jobs and integrating science-driven quality checks.
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Data Engineer builds and maintains ETL pipelines using Python, SQL, Spark, Databricks, and Airflow to support IT projects for clients.
Builds and maintains ELT pipelines, migrates legacy systems to modern data stacks, and designs BI models using SQL, ETL/ELT, and dbt.
Build and maintain Google Cloud-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech leader.
Designs, builds, and optimizes scalable data pipelines using Python/Java, Spark, and Databricks to support analytics and AI/ML in a hybrid work model.
Designs and maintains data pipelines and warehouses for fundraising, integrating CRM and marketing tools to support analytics and reporting.
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.
Designs, builds, and maintains data pipelines and a Data Lake using Spark, Airflow, and Delta Lake, collaborating with stakeholders.
Designs batch and near real-time data pipelines, maintains a Data Lake with Delta Lake, and builds workflows using Spark, Airflow, and Power BI.
Designs and maintains data pipelines and platforms for a tissue/paper industry partner, integrating factory systems and enabling analytics and AI use cases.
Design and build scalable GCP-based data pipelines and platforms, handling batch/streaming ingestion, transformation, and orchestration with BigQuery, Dataflow, and Airflow.
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.
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.
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.
Build and optimize GCP-based data pipelines and platforms, handling batch/streaming ingestion, transformation, and orchestration with BigQuery, Dataflow, Pub/Sub, Spark, and Airflow.
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
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