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Designs and builds Northland Power’s Azure-based data platform, integrating ERP, HRIS, and SCADA systems to enable analytics, AI, and Power BI reporting for a global clean-energy company.
Builds and maintains data pipelines using Azure Synapse and Microsoft Fabric, models analytical and operational data, and collaborates with data scientists.
Build and maintain Azure Synapse-based data pipelines and models to power analytics and operations for a global container logistics company.
Design and build scalable data pipelines with Apache Spark and Scala, and implement batch/streaming workloads in Microsoft Fabric and Synapse Analytics for enterprise data flows.
Designs and maintains scalable data pipelines using Microsoft Fabric, Azure, Python, and C# to support analytics and reporting workloads.
Designs and implements Microsoft Fabric/Azure Synapse data platforms for clients, building scalable warehouses, pipelines, and Power BI models to enable analytics and AI.
Design and build scalable data pipelines and streaming workloads using Spark, Scala, and Microsoft Fabric/Synapse to power analytics and decision-making at a global consumer brand.
Build and maintain data pipelines, APIs, and cloud-based analytics solutions using Azure, SQL, and Python to deliver real-time and batch data for clients.
Designs and maintains Azure-based data pipelines and warehouses, integrating SAP systems to deliver real-time analytics and insights for business decision-making.
Leads enterprise-wide AI data governance, setting policies and standards to ensure trusted, secure, and compliant data for AI/ML use while embedding governance into data pipelines and analytics platforms.
Designs and maintains enterprise data architecture, builds scalable data platforms (lakes, warehouses, streaming), and sets standards for modeling, governance, and cloud integration to support analytics and AI.
Designs Azure-based data analytics and AI solutions for clients, architecting scalable pipelines with Synapse, Databricks, and Power BI while guiding technical teams.
Leads Azure-based data pipelines and BI projects using Azure Data Factory, Synapse, Spark, and Databricks, mentoring teams and driving innovation in data solutions.
Designs and builds scalable data pipelines and modern data warehouses using Microsoft Fabric, Azure, and Databricks to enable analytics and reporting.
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.
Builds and maintains Azure-based data pipelines using ADF, Databricks, and Synapse, automating ingestion, processing, and orchestration within a secure cloud ecosystem.
Build and optimize Azure Synapse data pipelines and ETL/ELT processes, then model data to power AI and analytics solutions for business stakeholders.
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.
Leads enterprise-wide AI data governance and management, setting policies for data quality, privacy, and responsible AI use while collaborating with engineering, security, and compliance teams.
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