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Build and optimize Azure-based cloud data pipelines and infrastructure for a client’s digital transformation, using Python, Terraform, and Databricks.
Senior Data Engineer builds and maintains a Microsoft Azure-based BI platform, integrating data pipelines, modeling data, and creating Power BI reports for business teams.
Build and maintain BI pipelines that transform raw data into Power BI dashboards for Enexis’s energy-transition projects using Snowflake, Matillion, and DataVault modeling.
Senior Data Engineer builds and optimizes Azure-based pipelines and warehouses to power Next Sense’s climate-neutral building platform, using Python, Spark, and KQL.
Build and optimize cloud-based data pipelines, warehouses, and streaming APIs for diverse clients, using Python, Spark, and cloud platforms like AWS/Azure/GCP.
Design and build scalable data platforms using Apache Spark and cloud tools (AWS/Azure/GCP) to optimize ETL processes for an AI-driven company.
Build and maintain Azure-based data pipelines and warehouses for clients, using SQL, Python, and Databricks to turn raw data into scalable analytics solutions.
Mentor and lead a team migrating SQL Server and data pipelines to GCP, coaching on cloud best practices and scalable architectures.
Build and scale data pipelines for a quantitative trading firm, integrating market and alternative datasets with cloud and lakehouse tech.
Design, build, and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and Power BI to deliver insights for customers.
Build and migrate a Databricks-based data platform, design scalable data products, and coach a team through the transition to modern data engineering practices.
Designs and maintains scalable data pipelines and warehouses in Python/Docker, using SQL, orchestration tools, and AWS to power analytics and decisions for a mobile-entertainment and digital-payments company.
Build and maintain scalable data pipelines in Python and PostgreSQL to support commodity trading decisions, including ETL, automation, and BI dashboards in Qlik Sense.
Build and maintain data and AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
Build and maintain a Microsoft Fabric-based data platform for a regional out-of-hours GP service, integrating EHR, ERP and mobile-app data to power Power BI dashboards that guide staffing, finance and care-quality decisions.
Build and maintain cloud-based data infrastructure for AI-driven systems, designing scalable pipelines with tools like Airflow, Spark, and cloud platforms to securely store and process large datasets.
Senior Data Engineer builds scalable data architectures for clients like theme parks and hospitals, processing billions of records with Python, SQL, and cloud platforms (Snowflake/Databricks) to drive business impact.
Build and optimize data pipelines and warehouses for clients using Azure Data Factory, Databricks, Python, and CI/CD to enable data-driven decisions in sectors like energy, healthcare, and logistics.
Build and maintain the data-processing infrastructure and APIs for a government audit agency, deploying Python/TypeScript solutions on Kubernetes via CI/CD pipelines and exploring generative AI use-cases.
Design and build scalable data pipelines and cloud-based infrastructure for a real-estate software product, using Python, SQL, and Google Cloud Platform.
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