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Define and enforce enterprise data standards for medical devices, ensuring regulatory compliance and operational consistency across systems like ERP, PLM, and QMS.
Design and build scalable cloud data platforms using Azure, Databricks, and Microsoft Fabric, integrating governance, security, and cost controls while collaborating with engineers and analysts.
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.
Design and lead enterprise-scale data platforms (Lakehouse, Data Mesh) and ML pipelines using cloud tools (AWS/GCP/Azure), then mentor teams to deliver analytics and data products for ad-tech clients.
Build and maintain scalable data pipelines on Databricks using Spark/PySpark to power analytics, reporting, and risk systems for a large North American bank.
Designs and implements enterprise data models and architectures for T-Mobile’s consumer customer success systems, using Snowflake, Databricks, and Kafka to build scalable, real-time data pipelines.
Lead the design and automation of cloud-based data platforms for a global exchange group, using GCP, Terraform, and metadata governance tools like Atlan to streamline financial-market infrastructure.
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.
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.
Senior Data Engineer builds and maintains Talend-based ETL pipelines for Alberta’s environmental regulatory platform, integrating legacy systems with modern data platforms using SQL and Azure services.
Senior Data Engineer builds and maintains secure Azure pipelines and data products for Alberta’s environmental regulatory platform, ensuring reliable, analytics-ready datasets for compliance and decision-making.
Lead a team building scalable AWS pipelines that ingest, preprocess, and OCR millions of scanned documents, then route extracted data to databases and analytics platforms.
Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Principal Architect designs and builds scalable, secure data solutions for financial services using cloud technologies, data warehouses, and streaming pipelines.
Designs and builds scalable data systems for Amazon’s pricing and catalog optimization, focusing on AI-native infrastructure, real-time processing, and self-service data platforms using AWS.
Owns data products for financial services, ensuring quality, governance, and compliance while improving business use of data with SQL, BI tools, and cloud tech.
Lead AI readiness and embedded governance strategy for a major bank, designing data architecture standards and solutions across AI/ML platforms and regulatory compliance.
Lead AI readiness and embedded governance for Truist Bank, designing data architecture standards and solutions while partnering with tech and business teams to align AI/ML processes with regulatory and strategic needs.
Designs and governs enterprise data architectures for analytics, reporting, and AI on AWS and Snowflake, setting standards and partnering with engineers and stakeholders.
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