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Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and business insights.
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Builds and maintains data pipelines and analytics infrastructure for a semiconductor manufacturer, enabling reliable data access for BI and data science teams.
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Designs and maintains Azure-based data pipelines using Databricks, PySpark, and Azure Data Factory to ingest and process banking data into scalable Medallion Architecture layers.
Build and maintain cloud-based data pipelines for clinical datasets, automating ETL/ELT workflows and ensuring compliant delivery of data products using SQL, Python, and cloud platforms.
Build and govern data pipelines, lakes, and products to ensure accurate, secure, and accessible data for analytics and operations in a large consumer-banking unit.
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.
Designs and maintains Azure-based ETL/ELT pipelines and cloud data solutions to deliver clean, reliable data for analytics and BI.
Senior Data Engineer builds and maintains scalable Azure data pipelines and products using Data Factory, Synapse, Databricks, and Fabric to support analytics and reporting.
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Builds and optimizes SQL/Python pipelines to extract and transform marketing data from enterprise platforms, enabling audience segmentation and campaign performance analysis.
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
Build and maintain data pipelines, cleanse and validate datasets, and implement ETL/ELT processes using Microsoft Azure tools for a government data governance project.
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Build and maintain Snowflake data pipelines that move financial data between Oracle and client warehouses, enabling ESG reporting and analytics with Row Level Security.
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Designs and builds scalable Azure-based data pipelines and storage solutions using Synapse, Databricks, and Fabric to enable reliable, high-quality data platforms.
Designs and builds scalable data pipelines on Azure to ingest, transform, and store healthcare data for analytics using Databricks, Data Factory, and Delta Lake.
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