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Builds and maintains data warehouses and ETL pipelines using Python, SQL, and Azure Data Factory to support healthcare analytics and reporting.
Build and maintain AI-driven data pipelines using SQL, Python, and cloud services like AWS to ensure high-quality data for analytics and machine-learning applications.
Design and maintain scalable data pipelines for a fintech platform, enabling analytics and AI use cases across warehouses, lakes, and lakehouse architectures.
Design and deploy scalable data pipelines for AI/ML and BI using Spark, Hadoop, Kafka, and SQL warehouses while ensuring data quality and governance.
Designs and maintains Snowflake data warehouses and ESG analytics pipelines, integrating Oracle and client systems while collaborating with engineers and data scientists.
Build and maintain data pipelines for AI model training and analytics using Databricks, GCP, and Azure, ensuring clean, reliable data and supporting BI dashboards.
Design and scale production-grade data pipelines and cloud-native infrastructure to power analytics, automation, and AI systems for a global enterprise.
Design and maintain scalable data pipelines and integrations for education technology products, ensuring data quality, governance, and security while mentoring teams.
Build and deploy AI-driven analytics, automation, and data solutions to streamline reinsurance operations and improve decision-making across Asia Pacific.
Designs and builds cloud-based data pipelines and warehouses in GCP/BigQuery to support healthcare analytics, ensuring data integrity and performance for clinical and corporate insights.
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Build and optimize data pipelines and storage systems using Spark, Hadoop, Snowflake, and Airflow to process large-scale datasets for analytics and modeling.
Build and maintain scalable data pipelines and warehouses using BigQuery, ClickHouse, Airflow, Kafka, and CDC tools to power analytics and reporting.
Builds and maintains scalable data pipelines and services for a luxury fashion resale platform, collaborating with analysts and engineers to deliver high-performance data products.
Builds and optimizes cloud-based data pipelines on GCP, AWS, or Azure for a product-focused team.
Build and maintain scalable data pipelines and cloud infrastructure on GCP/AWS/Azure to process large datasets, using Python, SQL, and big-data tools like Spark and Airflow.
Design and build scalable data pipelines on Snowflake using SnowPipe and dbt, then clean and integrate data to support analytics and AI/ML workloads.
Build and maintain data pipelines, warehouses, and analytics apps using Python, Spark, and open-source big-data tools for a university’s data platform.
Designs and builds Microsoft Fabric data pipelines and lakehouses to prepare enterprise data for AI and analytics workloads.
Lead a team to design, build, and maintain data pipelines and systems that transform raw healthcare data into actionable insights for analysts and business teams using Python, SQL, Databricks, and Azure.
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