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Lead a team to build and maintain scalable data pipelines using Azure, Databricks, PySpark, dbt, and CI/CD for production-grade data products.
Leads Databricks/Snowflake/dbt training and consulting, designs data pipelines, and mentors junior engineers while supporting business development.
Design and build cloud-based data pipelines and analytics infrastructure from scratch, ensuring reliability and cost efficiency while collaborating with cross-functional teams.
Lead the design and scaling of EDUCA’s corporate data platform on GCP/BigQuery, building robust, production-grade data pipelines and architectures for an edtech leader.
Lead cloud and on-premise data projects using PySpark, SparkSQL, and Python, designing scalable data architectures and optimizing SQL/NoSQL systems for international clients.
Lead the design and development of scalable data pipelines and architectures for a healthcare company, ensuring data availability and quality for analytics.
Lead a team building secure, scalable data pipelines and platforms for analytics at a global bank, focusing on data modeling and cross-business collaboration.
Lead a team building secure, scalable data pipelines and analytics platforms for JPMorgan’s financial services, using relational/NoSQL databases and infrastructure tooling.
Lead design and development of ETL pipelines for Citi’s financial systems using Ab Initio and Oracle RDBMS, ensuring data accuracy and integrity.
Lead a team to build and maintain a high-volume marketing analytics platform’s data pipeline, designing S3-backed data lakes and near-real-time processing with AWS tools like Athena and EKS.
Lead a team building and optimizing large-scale marketing analytics pipelines on AWS, designing ETL workflows with Airflow and S3-backed data lakes for near-real-time processing.
Lead a team to build and maintain S3-backed data pipelines and real-time analytics for an AI-driven marketing platform using Airflow and AWS services.
Lead a team building and optimizing an S3-backed OLAP pipeline for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Lead a team to build and maintain ETL pipelines and analytics infrastructure for a marketing analytics platform using AWS, Airflow, and OLAP tools.
Lead the design and scaling of data pipelines and AI-driven analytics to unify engineering signals and inform product decisions.
Leads large-scale Java-based ETL pipelines for enterprise data migration and transformation, requiring deep Java expertise and cloud/containerization skills.
Leads governance for AI training using hospital data, ensuring accuracy, privacy, and compliance while evaluating outputs and providing structured feedback.
Lead the design and implementation of ETL pipelines and data models in Microsoft Fabric to unify ERP data for AI and analytics, ensuring data quality and scalability.
Lead the design and architecture of data pipelines and cloud engineering solutions while setting engineering standards and mentoring teams to enable responsible AI practices at a global life-science company.
Build and maintain data pipelines and platforms in Python to support healthcare analytics and reporting for a large health services company.
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