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Designs enterprise data models and lakehouse architectures in Azure, focusing on scalable, performant structures like Delta Lake and Data Vault to support analytics and operational reporting.
Design and modernize cloud-based data infrastructure for a federal program, building scalable data platforms, models, and pipelines while ensuring security, governance, and AI/ML enablement.
Oversee data governance and quality for critical financial data domains like ownership, individuals, and sanctions, setting standards and controls to ensure trusted, compliant enterprise data for analytics and AI.
Designs and builds scalable healthcare data pipelines using Azure Data Factory, SQL Server, and Python to integrate clinical, financial, and operational systems into a robust data warehouse.
Design and modernize enterprise-scale data warehouses for financial institutions, focusing on Teradata and Microsoft Azure ecosystems, while ensuring regulatory compliance and governance.
Builds and scales backend systems for AI-powered data tools, integrating LLMs and graph-based data structures into enterprise workflows using Python, FastAPI, and cloud platforms.
Principal Data Engineer builds and governs GCP-based data pipelines and ML-ready datasets for AI/GenAI systems, partnering with ML teams to enable training, inference, and monitoring at scale.
Design and build secure data pipelines and ETL workflows for cyber-defense analytics using Python, Spark, Kafka, and cloud services to support DoD operations.
Designs and maintains data pipelines to ingest and process telemetry for a DoD enterprise, using tools like Splunk and Kafka to ensure secure, compliant data visibility and analytics.
Build and maintain AI-driven analytics infrastructure for a quantitative investment firm, standardizing research pipelines and optimizing distributed SQL engines like Presto/Spark.
Build and maintain AI-driven analytics infrastructure for a quantitative investment firm, standardizing data pipelines and optimizing distributed SQL engines to support research and trading strategies.
Build and scale ML infrastructure for brain-computer interface R&D, including distributed training pipelines and large-scale data platforms to support neuroscientific modeling and neural decoding.
Builds and maintains the core data foundations for a defense-focused simulation platform, designing relational models, SQL schemas, and backend services to represent complex operational logic in data structures.
Data Steward II ensures high-quality, reliable data for business insights by managing governance, quality, and cataloging while collaborating with teams to maintain integrity and usability of enterprise data assets.
Designs and builds D365FO-based dimensional models and SQL queries for financial and manufacturing BI reporting, then delivers Power BI dashboards to business users.
Build and maintain AI-native data pipelines that integrate manufacturing and development systems (MES, LIMS, QMS, ERP) to power analytics and AI models for biologic drug development at AbbVie.
Build and maintain scalable AWS data pipelines using Python, Spark, and Glue to ingest and process financial data for enterprise decision-making.
Technical Data Analyst role in an investment banking environment, focusing on regulatory reporting (MiFID II, EMIR, SFTR) and BCBS239 data lineage improvements using SQL and data governance tools.
Build data governance dashboards and metrics for financial services stakeholders using SQL, Python, and BI tools to track data quality and regulatory reporting.
Lead analyst driving a SAS-to-GCP migration for a bank, translating risk and data requirements into engineering specs and reusable data products.
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