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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.
Build and maintain AWS-based ETL pipelines, data models, and monitoring for Amazon’s global network operations, migrating legacy systems to cloud-native platforms.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Build and deliver Databricks-based lakehouse pipelines and cloud-native data architectures for clients, using Python/Scala/SQL.
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.
Builds enterprise knowledge graphs and AI solutions using Neo4j or Amazon Neptune to model complex data relationships, metadata, and lineage for analytics and generative AI.
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
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.
Build and maintain cloud-based data pipelines and warehouses for a property-management SaaS, enabling analytics and reporting across the business.
Build and maintain scalable data pipelines for Roku’s ad-auction platform, ensuring reliable, high-performance data flows for digital advertising.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for enterprises, using Python/Java/Scala, Spark, Airflow, and cloud platforms like AWS/Azure.
Designs secure data pipelines and transforms GEOINT datasets to support AI-driven analytics for Army intelligence operations.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Senior Data Engineer/ML Engineer designs, deploys, and maintains scalable ML models and MLOps pipelines for enterprise clients, using Python, SQL, Spark, and AWS.
Build and maintain scalable data pipelines in Scala on AWS, ensuring high throughput and data quality for a dynamic data platform team.
Build and maintain large-scale data pipelines in Scala and Spark on AWS, ensuring reliability and performance for a distributed data platform.
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.
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