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Lead the build-out of a Redshift-based analytics platform, migrating reporting workloads from PostgreSQL and ensuring scalable, auditable reporting for internal teams.
Lead the design, build, and operation of complex data pipelines for an AI-driven platform, integrating sources, optimizing infrastructure, and enabling advanced analytics and ML.
Lead the design and optimization of AI-driven data platforms, including real-time pipelines and governance, for a large manufacturing company.
Lead hands-on development of cloud data pipelines and AI solutions, set architecture standards, and mentor engineers in Python, SQL, and distributed processing.
Lead a team building and optimizing Salesforce’s AI-driven Customer Success Data Platform, designing scalable data pipelines and integrating AI workflows using Python, SQL, and cloud technologies.
Lead a team to build and maintain a scalable data platform using Snowflake and AWS, enabling clinicians to derive insights for efficient care management.
Lead a team to build and automate data pipelines and predictive analytics solutions using Python, SQL Server, and Databricks for a premier AI services provider.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Lead a team of nine engineers to build and maintain cloud data pipelines using Informatica and AWS services, extracting data into Redshift and Denodo for analytics.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Lead a team to design ETL pipelines for ERP data consolidation using Microsoft Fabric and Azure, ensuring AI-ready data quality and global stakeholder collaboration.
Lead the design and optimization of ETL pipelines and data models on Microsoft Fabric to enable AI-ready analytics for ERP data in a global enterprise environment.
Design and build Azure-based data pipelines to ingest and load financial data, enabling analytics and insights for a Mexico-focused fintech company.
Lead a team building and scaling healthcare-focused data systems and applications for audience intelligence, activation, and reporting in a regulated marketing cloud environment using distributed systems, AI, and cloud platforms.
Build and run a real-time market-data platform: write Java/Python pipelines, ensure data accuracy, and support trading systems with modern AI tools.
Designs, builds, and optimizes ETL pipelines to integrate banking data into a data warehouse using SQL, Informatica/DataStage, Linux, and Python.
Lead a team to design and build scalable Azure-based data pipelines and Lakehouse architectures using Databricks, Delta Lake, and Azure Synapse to integrate enterprise data for analytics and AI insights.
Design and maintain scalable Azure-based data platforms using Python, PySpark, and SQL to integrate data sources and optimize pipelines for performance.
Lead a data platform team to build and optimize ETL pipelines, cloud infrastructure, and AI integrations for a climate-focused energy company using Azure, Databricks, and DevOps tools.
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