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Build and maintain data pipelines and analytics for ad-tech revenue ops using Snowflake, Python, and ETL/ELT tools to support lead routing, segmentation, and sales tooling.
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Build and maintain Snowflake-based data pipelines and EDW platforms using Azure Data Factory, monitoring jobs, resolving incidents, and optimizing performance in a 24/7 support model.
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
Designs and builds enterprise data warehouses and AI pipelines using SQL and Databricks for large-scale analytics and ETL/ELT workflows.
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Build and maintain scalable data pipelines in Microsoft Fabric/Azure to power analytics and AI for a top North American furniture retailer.
Build and maintain data pipelines, ETL/ELT logic, and curated datasets to power analytics and dashboards for a smoke-free future initiative.
Lead a team designing and building end-to-end data pipelines, warehouses, and analytics for clients using cloud platforms, SQL, Python, and DevOps practices.
Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Senior Data Engineer building scalable pipelines and data platforms to power analytics and AI features, using SQL, Python, Airflow, and cloud data tools.
Build and maintain data pipelines, dashboards, and AI-driven tools to inform logistics operations and ecommerce decisions using SQL, Python, and tools like DBT, Fivetran, and Hex.
Designs and maintains scalable Snowflake-based data infrastructure and secure ELT pipelines using Python and AWS, ensuring high performance and data privacy.
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Builds and maintains data pipelines and Snowflake transformations to feed AI-driven analytics and decision-making systems using Python, SQL, and cloud platforms.
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Builds and maintains big-data pipelines in AWS or GCP using SQL, Python/Scala, and Spark to feed analytics and ML models for a financial-services company.
Designs and builds ETL/ELT pipelines and data lakes, ensuring high-quality data flows using Java, Scala, Python, Spark, and Airflow.
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI products using SQL, dbt, and cloud platforms like Databricks or AWS.
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