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Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Build and maintain scalable data platforms and AI pipelines using Databricks, Delta Lake, and PySpark on cloud platforms like Azure, AWS, or GCP.
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric, mentor junior engineers, and deliver cloud-native analytics solutions for clients across finance, government, and other sectors.
Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Build and maintain Azure-based ELT pipelines and data architecture for a fintech lending platform, working closely with analysts and data scientists to support credit decisioning and analytics.
Builds and maintains cloud data pipelines on Azure Databricks, industrializes ML models with MLflow and Delta Lake, and collaborates with IT and business teams.
Build data-driven applications on Databricks using Node.js and Python, creating interactive front-ends that turn curated datasets into real-time insights for business users.
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Build and maintain enterprise-scale data platforms using Databricks, Spark, and ETL/ELT pipelines for large-scale data ingestion and integration.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
Lead enterprise data engineering and analytics teams to design scalable data platforms using Azure, Databricks, and Power BI for executive reporting and digital transformation.
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
Build and optimize scalable data pipelines on Databricks and AWS using Python, PySpark, and SQL for enterprise clients.
Design and build scalable data pipelines using Python, PySpark, Databricks, and AWS for enterprise clients.
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
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