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Designs and maintains secure data infrastructure using Airflow and Snowflake, orchestrating pipelines and ensuring high-quality data delivery for global teams.
Lead the architecture and scaling of Kueski’s data platform, building robust pipelines and mentoring engineers to support AI-driven financial services in Mexico.
Builds and maintains scalable data pipelines and infrastructure using SQL, Snowflake, DBT, and Airflow to support AI-powered analytics and reporting.
Build and optimize data pipelines using AWS Glue, Apache Spark, and Python to handle large-scale data challenges for a Mexico-based tech firm.
Build and maintain ETL pipelines in Python, Snowflake, and Airflow to ingest, transform, and deliver retail analytics data for financial use cases.
Build and maintain data pipelines on HSBC’s GCDR platform using Spark and Scala in an Agile team.
BI/Data Engineer supports migrating 400 Tableau reports to Power BI, ensuring visual and functional parity while collaborating with stakeholders in Agile sprints.
Builds AI-powered data pipelines using OpenAI and Azure Fabric to deliver customer-facing solutions for LATAM and U.S. clients.
Builds and maintains data pipelines using SQL and databases, creates Tableau visualizations, and works with international teams in English.
Designs and implements real-time Change Data Capture (CDC) pipelines using Oracle and Kafka to replicate and stream enterprise data with low latency and strong consistency.
Senior Data Engineer to migrate PostgreSQL data to Amazon Redshift, build analytical pipelines, and optimize queries in AWS for Softgic S.
Designs and builds ETL pipelines in Azure Synapse using PySpark to move and transform data for analytics and reporting.
Maintains and implements Oracle GoldenGate data-replication pipelines to keep enterprise databases synchronized across platforms with high availability and integrity.
Designs and builds ETL pipelines with Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Designs and maintains PySpark-based ETL pipelines on Azure Synapse Analytics for consultancy clients, ensuring scalable data flows and data quality.
Design and maintain scalable ETL/ELT pipelines in Python (PySpark) and Snowflake, optimizing data warehouses and ingesting data from REST APIs and cloud storage.
Design, build, and maintain scalable ETL pipelines and data-quality frameworks to ensure reliable enterprise data access and analytics for Milwaukee Tool.
Designs event-driven data pipelines on GCP to automate deployment and testing, transforming raw data into trusted insights for analytics teams using Python, SQL, and BI tools.
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.
Build and optimize cloud data pipelines using Python, PySpark, Spark SQL, and Kafka on GCP for global clients.
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