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Designs and maintains scalable ETL/ELT pipelines on Databricks and AWS to transform raw data into business-ready datasets for reporting and analytics.
Design and implement real-time data replication pipelines using Qlik Replicate, configuring CDC and managing hybrid cloud/on-premise data flows.
Build and optimize enterprise-scale data models and pipelines using dbt, Snowflake, and SQL for a leading travel and tourism client.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Designs and builds scalable Azure Databricks data pipelines for reliable, governed ETL/ELT and real-time data integration to support analytics and reporting.
Lead hands-on ETL and data-migration projects, designing pipelines, writing SQL/Python, and guiding clients through legacy-to-target migrations until go-live.
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
Design and build AWS-based data platforms, including data lakes, warehouses, and pipelines, while providing architectural oversight and ensuring security and cost optimization.
Senior Data Engineer designs and optimizes scalable data pipelines, warehouses, and real-time streaming systems using GCP/AWS, Python, Java, and SQL to enable analytics and AI-driven solutions.
Designs and builds scalable data pipelines and warehouses on Google Cloud, focusing on ETL/ELT, real-time ingestion, and DataOps practices.
Build and maintain scalable data pipelines using Databricks, Python, and SQL to move and transform large datasets across cloud platforms like AWS and Azure.
Designs and implements real-time data replication pipelines using Qlik Replicate, CDC, and hybrid cloud architectures to keep analytics platforms synchronized.
Design and maintain scalable data pipelines and models, set engineering standards, and mentor teams using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Design, deploy, and optimize Snowflake data warehouses and infrastructure using Terraform, ensuring secure, high-performance analytics for cross-functional teams.
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Build and maintain cloud data pipelines and analytics platforms using Azure Synapse, PySpark, and SQL for large-scale enterprise projects.
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 cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Lead a team that builds and maintains scalable data pipelines and warehouses for a Philippine bank, using Python, SQL, Snowflake, DBT, and Airflow to ensure clean, reliable data for analytics and decision-making.
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