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Designs and builds scalable data models in dbt and BigQuery to power reporting, experiments, and business decisions while mentoring peers and ensuring data quality.
Designs reporting solutions with Microsoft Dynamics, builds Power BI dashboards, and creates scalable data products using SQL and PySpark.
Design and build end-to-end data pipelines and star-schema models in Microsoft Fabric/Azure, then expose clean datasets for Power BI and integrate Azure OpenAI where it adds value.
Designs and implements AI/ML solutions in Python and SQL, mentors junior engineers, and collaborates with global teams to deliver enterprise-scale AI systems.
Design and build scalable data pipelines and analytics for a healthcare platform using Databricks, PySpark, SQL, and Azure to enable real-time and batch processing.
Designs and builds cloud data pipelines and architectures using Microsoft Fabric and Azure, leveraging SQL, Python/PySpark, and Git.
Build a cloud-based healthcare data platform from scratch using Databricks, Azure Data Factory, PySpark and event-driven architectures to enable near real-time analytics and business insights.
Build a healthcare data platform using Databricks, PySpark, SQL and Azure, creating pipelines, models and dashboards that turn raw data into real-time analytics and business insights.
Builds and maintains data infrastructure for AI research, including experimentation, model training workflows, and large-scale data analysis in a distributed team.
Build and maintain Appfire’s Snowflake-based data warehouse and metrics layer using dbt, SQL, and Python to create trusted, self-service analytics that drive company-wide decisions.
Build and scale data pipelines, warehouses, and analytics to power a fast-growing second-hand marketplace, analyzing pricing, supply, and conversion to drive business decisions.
Build and maintain ETL pipelines and datasets to feed ML models in a global financial-services context, collaborating with data scientists and business teams.
Build and maintain scalable analytics infrastructure using dbt and BigQuery, creating clean data models and collaborating with teams to deliver reliable insights.
Senior Go engineer building data-intensive APIs for agricultural analytics at Bayer’s Crop Science team, using Go/Python, Docker, Kubernetes, and cloud infrastructure.
Senior Data Analytics Engineer builds and maintains a centralized data warehouse and scalable pipelines in BigQuery, reconciling financial sources and ensuring audit-ready data for stakeholders.
Build and maintain data pipelines and a BigQuery-based data warehouse for a global ride-hailing platform, reconciling financial data from multiple providers.
Senior Data Analytics Engineer builds and maintains cloud-based data pipelines and warehouses for a global mobility platform, focusing on financial data and regulatory compliance.
Build and scale customer-facing analytics and dashboards that turn Exacare’s rich healthcare data into actionable insights for post-acute care facilities.
Analyze raw data to generate AI-driven insights for FICO’s platform, building pipelines and dashboards while translating findings into actionable recommendations.
Senior Python developer builds and maintains data analytics and cloud-based products for Commerzbank’s IT cluster, collaborating with business teams to create and deploy new models.
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