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Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
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 optimize Google Cloud data pipelines, including batch/real-time processing, ML model integration, and data quality KPIs for BI, APIs, and databases.
Build and optimize data platforms for clients in automotive, energy, and finance using tools like Informatica PowerCenter and Oracle SQL Server.
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.
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.
Build and maintain data pipelines, a SQL Server data warehouse, and Power BI dashboards to support business decision-making at a trade association.
Builds and maintains data pipelines on Azure and Databricks to power analytics and AI products for a public-transport company.
Build and maintain data pipelines, integrate systems, and model data for analytics in cloud and on-prem environments using SQL and Big Data tools.
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Design and build scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams for analytics and AI use cases.
Senior Data Engineer designs and builds scalable ETL/ELT pipelines and distributed data architectures (cloud, on-prem, or hybrid) using Python, PySpark, and SQL for modern data platforms.
Builds and maintains data pipelines, Data Lake, and analytics infrastructure using Spark, Airflow, Delta Lake, and Parquet to support reporting and business decisions in an energy/utilities company.
Develops ETL pipelines and data warehouses using SAS Base 9.4 and SAS Viya 4, writing SQL/PROC SQL and translating business requirements into technical solutions.
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
Designs and maintains cloud-based data pipelines for luxury retail, focusing on sales and customer KPIs using Azure, Databricks, and Spark.
Builds and maintains scalable data pipelines and cloud data platforms on Microsoft Azure, using Python, Azure Databricks, and Microsoft Fabric to support analytics and ML workloads.
Designs, builds, and maintains data warehouses and ETL/ELT pipelines for healthcare analytics using Oracle SQL, Java, and Talend.
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