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Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and maintain big-data pipelines and storage for Grubhub’s marketing analytics, turning raw orders into automated reports and metrics used by senior leadership.
Build and optimize big-data pipelines and automated reports to power marketing analytics for a global outsourcing firm.
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Lead end-to-end AI model development for CPG, including time-series forecasting, optimization, and generative AI, from data exploration to deployment.
Designs and maintains scalable data pipelines using Databricks, SQL, and Python to ensure reliable data availability for cross-functional teams.
Designs and maintains scalable data pipelines and infrastructure using Databricks, SQL, and Python to support data-driven consulting initiatives in a hybrid Mexico City role.
Leads cloud-based data pipelines and analytics for media performance reporting using SQL, Python, and Databricks to ensure data quality and governance.
Lead a team to design and build scalable data pipelines using Azure Databricks, ADF, and PySpark, while integrating with AWS, Snowflake, and BigQuery in hybrid/multi-cloud environments.
Lead the end-to-end data architecture—ingestion, processing, modeling, and consumption—using Python, PySpark, Airflow, and AWS services to enable reliable reporting and LLM-driven analytics at scale.
Designs, builds, and optimizes ETL pipelines using AWS Athena and SQL to validate data and support analytics across business domains.
Design and build AI-powered data frameworks for a global real-estate firm, mentor junior engineers, and align solutions with business strategy.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and lakehouses using ETL/ELT tools to feed analytics and business decisions.
Builds and maintains PySpark data pipelines on GCP, using BigQuery and Dataproc to process large datasets with Python and SQL.
Design and deploy AI systems for cost estimation and optimization using LLMs and MLOps on cloud platforms like Azure and AWS.
Design and build scalable data pipelines for game analytics, transforming raw game data into insights to improve player experiences using AWS and big data tech.
Build and maintain cloud-based data pipelines for clinical datasets, automating ETL/ELT workflows and ensuring compliant delivery of data products using SQL, Python, and cloud platforms.
Lead the build-out of AI-driven data infrastructure on Azure/Databricks, ensuring reliable pipelines for analytics and ML workloads using Spark/Scala.
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