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Lead the design and optimization of Tune Protect’s data ecosystem, building scalable ETL pipelines with SSIS/Airflow and modernizing the data warehouse to support analytics and AI initiatives.
Leads Azure-based data pipelines and BI projects using Azure Data Factory, Synapse, Spark, and Databricks, mentoring teams and driving innovation in data solutions.
Build and automate data pipelines, migrate legacy systems to modern platforms, and ensure data accuracy and reliability for a fintech lender.
Designs and builds scalable data pipelines and modern data warehouses using Microsoft Fabric, Azure, and Databricks to enable analytics and reporting.
Lead a team to build and govern data pipelines that ingest, clean, and transform enterprise data (PLM, ERP, MES) for Digital Twins and knowledge graphs using Databricks or Azure Data Factory.
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data in T-SQL and PySpark to deliver governed analytics platforms for clients in industrial, energy, consumer and public sectors.
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Design and build scalable data platforms using Databricks, Azure Data Factory, Power BI, and Azure Analysis Services to deliver insights for cross-functional teams.
Design and build a real-time data platform for healthcare analytics using Azure, Databricks, and PySpark, focusing on scalable, event-driven architectures.
Designs and builds scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Design and build Azure Databricks-based Lakehouse pipelines and Spark ETL workflows to power analytics and BI, optimizing cloud data architectures for scale and quality.
Designs and maintains scalable data pipelines using Databricks, Azure Data Factory, and cloud platforms to deliver data-driven outcomes.
Design and build scalable cloud data pipelines using Azure Data Factory and Databricks, then model and optimize datasets for Power BI analytics and reporting.
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks for batch and near real-time analytics.
Designs and optimizes Azure-based data pipelines and lakehouse architectures using Data Factory, Synapse, and Delta Lake for secure, efficient data workflows.
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Build and scale a modern data platform using Databricks and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Builds and maintains Azure-based data pipelines and Databricks workflows for Ayvens’ Target Data Platform, collaborating with stakeholders to document and execute data engineering processes.
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