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Leads a data engineering team to build scalable data platforms using Python, SQL, Snowflake, and Airflow, while mentoring engineers and delivering solutions for clients.
Lead data engineering projects for a global analytics consultancy, designing and scaling Azure-based data pipelines while aligning solutions with client business goals.
Leads a team building and scaling cloud-based data pipelines and platforms using Python, Snowflake, and Airflow for a software development outsourcing firm.
Lead a data engineering team to build and maintain pipelines for onboarding, cleaning, and processing audience data for BI, analytics, and data science teams.
Lead a data engineering team to build and maintain pipelines for audience analytics and BI, ensuring clean, scalable data for insights and reporting.
Leads large-scale data migration projects using Java/Scala and Spark, designs robust solutions, and mentors teams to ensure data integrity.
Lead the design of AI-ready ETL pipelines and ERP integrations using Microsoft Fabric, ensuring scalable data architectures and high-quality governance.
Leads data engineering for ETL and reporting platforms, owning Informatica PowerCenter pipelines and Power BI dashboards to ensure enterprise data integration and analytics run smoothly.
Design and build scalable cloud data pipelines using Python, PySpark, and AWS to deliver reliable data across teams.
Leads data collection and governance projects, designing complex data solutions and ensuring data integrity for HP’s systems in Tlaquepaque.
Design and build scalable cloud data pipelines using AWS and Databricks, leading platform initiatives and ensuring reliable data delivery for engineering, analytics, and science teams.
Owns the Promotions Document financial process and automates data ingestion into enterprise reporting platforms using SQL, Python, and Excel with VBA.
Build and optimize data pipelines and retrieval systems for AI agents, ensuring scalable, high-quality data infrastructure that powers Salesforce’s AI-driven CRM platform.
Lead a team building scalable Snowflake and AWS data pipelines for enterprise clients, enforcing Medallion Architecture, data quality, and governance in an ELT-focused environment.
Lead a team to build and automate BI pipelines, SQL optimizations, and data workflows for reporting and predictive analytics in an AI-focused product company.
Design and build scalable cloud data pipelines and platforms using AWS services, Python, PySpark, and Databricks to deliver reliable, high-quality data for analytics and decision-making.
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using AWS S3, Airflow, and Athena.
Lead BI/Data Engineer builds data pipelines, warehouses, and dashboards in SQL, Python, and Snowflake to deliver business insights and enable advanced analytics for Fortune 500 clients.
Lead a team of data engineers to build and scale data platforms using Python, SQL, and big data tools while translating business needs into technical solutions.
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