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Designs and builds data pipelines using Databricks and Microsoft Fabric, optimizing data workflows for AI applications.
Designs and builds enterprise-grade AI solutions, cloud-based data pipelines, and datasets for AI workloads using Python and LLMs.
Builds and optimizes ad-tech and AI-driven data products, analyzing large datasets to improve targeting and business decisions using Python, SQL, and visualization tools.
Lead a team to design and deliver end-to-end data & analytics solutions for enterprise clients using Java backend and Python, while owning customer relationships and engineering excellence.
Designs and builds scalable AWS-based data platforms using Terraform, Kubernetes, and Databricks to support analytics and data-driven initiatives.
Designs and implements Microsoft Fabric and Azure data pipelines, builds ETL/ELT workflows, and deploys AI analytics solutions to help clients make data-driven decisions.
Build and maintain a scalable cloud data platform using AWS, Terraform and Airflow to power analytics and AI-driven products.
Build and maintain scalable streaming and analytics pipelines for real-time healthcare location data using Kubernetes, AWS, and IaC.
Build and deploy data-driven solutions using Python, ML, and Azure to optimize building systems and sustainability for Johnson Controls' smart-city and decarbonization products.
Senior Data Science Engineer building AI-driven pricing and optimization systems for Sabre’s travel marketplace, using ML, generative AI, and MLOps.
Build and deploy ML models and GenAI services, manage customer data, and analyze it using Python, NLP/LLMs, SQL, and OpenSearch in a product-focused team.
Builds cloud-based risk data pipelines and microservices in Java/Spring Boot, integrating DevOps and CI/CD for real-time and batch workloads.
Build and optimize cloud data pipelines and warehouses during a major migration from Azure to AWS, ensuring reliable data flow and cost-efficient performance.
Build and evaluate data-driven solutions for smart buildings and climate tech using Python, Azure ML, and SQL; track impact with attribution methods.
Build and maintain the data platform that ensures reliable, accessible data for business decisions using Python, dbt, Databricks, Airflow, and Kubernetes.
Builds and maintains Arla’s Azure-based data platform using Databricks, PySpark, SQL, and Terraform to power analytics and decision-making across the company.
Build and deploy AI-powered safety systems: liveness detection, fraud/abuse detection, audio analysis, and safety scoring using CV, NLP, and LLM pipelines in a high-load production environment.
Designs and maintains cloud infrastructure on Azure/AWS, builds data pipelines, and enforces security best practices for a technology partner.
Defines and enforces governance-as-code policies for enterprise data platforms like Snowflake, Databricks, and Cloudera to ensure security, compliance, and cost control across IQVIA’s healthcare analytics stack.
A QA engineer designs and runs tests for data pipelines and warehouses, ensuring accuracy and integrity in Snowflake and SQL environments.
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