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Design and maintain a secure, scalable data platform for multimodal medical datasets, enabling AI training and real-time hospital workflows using open-source tools like Kubernetes, Terraform, and Dagster.
Builds and operates scalable cloud data platforms for a major bank using Azure, Databricks, and Terraform, while implementing DevOps and CI/CD pipelines.
Design and implement cloud-based data solutions using AWS and GCP, optimizing data processing and analytics for enterprise clients with Python/Java, SQL, and ETL pipelines.
Build and maintain DVJ’s data pipelines, Microsoft Fabric platform, and AI-enabled analytics to automate insights and support marketing research for global brands.
Builds and optimizes ELT pipelines and data warehouses to support healthcare UX research and BI analytics using SQL and data modeling.
Designs and implements ETL pipelines, data warehouses, and APIs to integrate and transform customer data for analytics and reporting.
Build and scale ML/AI data pipelines and generative AI solutions using Python, SQL, Azure, and Databricks for LLM applications.
Lead a team to build and maintain end-to-end data pipelines and trusted datasets for revenue operations, using Salesforce, Stripe, Postgres, and cloud analytics tools.
Design and maintain the data architecture for a major stadium’s event operations, building ETL pipelines in Azure to clean and process large datasets for analytics and business use.
Builds and maintains cloud-based data pipelines and storage systems for clients, using modern data tools under tight deadlines.
Build and maintain Azure-based data pipelines and BI solutions to transform raw data into actionable insights for business analysis.
Builds and maintains scalable Python-based data pipelines and APIs on Azure and Databricks, applying best practices to improve existing codebases.
Build and optimize data pipelines and models for clients using SQL, Python, and Databricks to modernize their data infrastructure.
Build and maintain marketing analytics infrastructure by implementing event tracking, conversion setups, and GDPR-compliant data pipelines for a fintech company.
Build and maintain data pipelines and cloud-based data platforms, using tools like Databricks and Power BI to deliver analytics and reporting for business decisions.
Builds scalable data pipelines and warehouses using Python, SQL, Databricks, Spark, and Azure to deliver analytics solutions for clients.
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Lead data engineering teams to design and implement scalable cloud-based data solutions using Snowflake and modern cloud platforms, aligning with enterprise business strategies.
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Design and build scalable Azure data pipelines with ADF, Databricks, and PySpark, plus automate deployments using Azure DevOps and Bicep.
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