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Designs and builds scalable data pipelines, cloud data architectures, and ETL/ELT processes for AI and ML projects at major enterprise clients.
Senior Data Engineer designing and building scalable data pipelines on Microsoft Fabric and Azure, using Python/PySpark, SQL, and Power BI to deliver analytics solutions for enterprise clients.
Build and maintain robust data pipelines and cloud data platforms, preparing data for AI systems and ensuring quality and governance for analytics and agentic use cases.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and availability for BI and Data Science teams using Python, SQL, and modern data architectures.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
Senior Data Engineer building and maintaining a modern Lakehouse data platform using Databricks, Airflow, and PySpark pipelines with a focus on data governance and lineage.
Build and optimize Azure Lakehouse data pipelines for AI projects using Databricks, ensuring high-quality datasets and performance.
Data Engineer building and maintaining a large-scale data platform for a major bank, automating data ingestion and ensuring quality in a high-volume environment.
Build and maintain data pipelines in Microsoft Fabric, centralize student, marketing, and LMS data into a secure lakehouse, and deliver Power BI dashboards for admissions, marketing, and academic performance.
Senior Data Engineer building scalable data pipelines and Lakehouse architectures on Databricks and AWS, using Spark, Python, and ML tools to deliver end-to-end data solutions for enterprise clients.
Build and optimize secure, scalable data pipelines and architectures for enterprise clients, translating business needs into robust data solutions while ensuring compliance and performance.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Build and optimize cloud data pipelines for an investment platform, integrating financial data sources like Bloomberg into a Databricks-based Lakehouse.
Design and build scalable data pipelines and GenAI platforms on AWS, using Spark and modern data architecture to support analytics, AI, and Generative AI use cases.
Design and build robust data pipelines for modern lakehouse platforms, ensuring data quality and readiness for AI systems.
Design and build scalable data pipelines and lakehouse architectures across multi-cloud using Snowflake, Databricks, or Denodo.
Build and maintain a Microsoft Fabric-based data platform for a multi-energy provider, focusing on ingestion, lakehouse architecture, and data quality.
Designs, builds, and optimizes scalable data pipelines on Databricks to ensure high-quality, reliable data for BI and analytics teams.
Build and scale a modern data platform for a healthcare-focused company, designing cloud infrastructure, pipelines, and governance while ensuring HIPAA/GDPR compliance.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming-TV ad campaigns.
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