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Designs and maintains Microsoft Fabric data pipelines, OneLake environments, and analytics-ready data using Azure services, PySpark, and T-SQL.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks, enabling AI/ML and analytics for financial, legal, and government clients.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and lakehouses using ETL/ELT tools to feed analytics and business decisions.
Build and maintain ETL pipelines, data models, and dashboards to turn raw business data into insights and reports using Python, SQL, and cloud platforms.
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.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Build and optimize Snowflake-based data pipelines and ETL processes, implement governance and AI features, and tune performance for cloud data workloads.
Designs and maintains scalable data pipelines and warehouses, transforming raw data into insights for decision-making using Python, SQL, and cloud platforms.
Designs and maintains Azure-based ETL/ELT pipelines and cloud data solutions to deliver clean, reliable data for analytics and BI.
Build and maintain scalable ETL/ELT pipelines and data platforms to turn enterprise data into trusted, analytics-ready datasets for BI and AI initiatives.
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.
Design and maintain Azure Fabric data pipelines (Bronze–Silver–Gold) to transform raw data into analytics-ready datasets for Power BI Embedded reports.
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
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.
Design and maintain secure, reliable data flows between enterprise systems like CRM, ERP, and analytics platforms using APIs, ETL, and event-driven patterns.
Senior Data Engineer builds and scales Snowflake-based cloud data platforms, designs ELT pipelines, and optimizes data models to power analytics and reporting across a fintech organization.
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
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