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Design, build, and maintain high-volume data pipelines and applications using PySpark, Databricks, AWS, and SQL to support analytics and reporting for aerospace manufacturing.
Build and maintain scalable ETL/ELT pipelines and cloud data platforms to turn raw weather and environmental data into reliable, decision-ready datasets for B2B products using Python, SQL, Apache Beam, Snowflake, and BigQuery.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Lead a data engineering and analytics team to build scalable data infrastructure and AI-powered analytics for Serve Robotics' autonomous delivery robots, enabling data-driven decisions across operations and product.
Build and scale scalable ETL/ELT pipelines on Databricks (AWS) using Python, SQL, and PySpark to process large production datasets and optimize data integrity.
Our Business: Engineered Intelligence Inc. is a power infrastructure technology company focused on delivering advanced analytics and AI-driven solutions for electric utilities and critical infrastructure organizations.…
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Principal Data Engineer designs and maintains scalable, self-hosted data pipelines and databases for a game studio, ensuring robust performance and compliance.
Build and maintain data pipelines, write SQL queries, and monitor data quality to support analytics and AI solutions for clients in a collaborative, office-based role.
Design and build Azure-based data pipelines and systems using Databricks, Data Factory, and Synapse to integrate and process data for analytics and business solutions.
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Design and build scalable data pipelines and architectures for EA Sports FC, using Python, Spark, Kafka, and AWS to deliver analytics and AI-driven insights.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Principal Software Developer – AI Data Architect designs and leads an AI-ready data platform for Caseware’s cloud products, setting standards for data modeling, governance, and AI integration while mentoring teams.
Build and optimize Amazon’s cloud-based data infrastructure, designing ETL/ELT pipelines and reporting solutions to enable real-time analytics for IT services across the company.
Lead a team to design and maintain Azure-based data pipelines using ADF, Databricks, and PySpark, ensuring scalable ETL/ELT and robust data governance for analytics and AI teams.
Build and maintain Venn’s data infrastructure, ETL pipelines, and analytics layers to power product, finance, and risk decisions using modern data tools and SQL.
Design and maintain scalable ETL/ELT pipelines in Microsoft Fabric and SAP BW, build reusable data products, and optimize data warehouse structures for analytics and AI-readiness.
Lead a team building cloud-native data pipelines in GCP/AWS using Python, Spark, and Kafka to enable analytics and ML on large datasets.
Designs and builds scalable Azure-based data pipelines and analytics solutions using Databricks, Data Factory, and Java/Python microservices.
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