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Senior Data Engineer leading complex data solutions from design to deployment, building high-performance pipelines with SQL, Python, PySpark, Databricks, and AWS while mentoring teammates and engaging with clients.
Data Engineer designing and maintaining Azure-based ELT pipelines and data platforms, collaborating on data extraction, transformation, and loading into a data warehouse with a focus on data quality, governance, and automation in a hybrid setup.
Cloud Data Platform Engineer managing Snowflake and Databricks on Azure—building data pipelines, tuning queries, implementing DR plans, and automating analytics workloads with SQL, Python, and PowerShell.
Lead Data Engineer designing and delivering scalable data architectures, pipelines, and models using Azure Databricks, dbt, and SQL while mentoring engineers and enforcing CI/CD and data quality best practices.
Lead Data Engineer at Novare in the Philippines designing scalable data architectures with Azure Databricks, dbt, and SQL, leading ELT/ETL workflows, and mentoring a team of engineers.
Data Engineer designing, developing, and maintaining ETL pipelines and data solutions to ensure data quality and integration, primarily using Snowflake Data Warehouse and SQL in a Cebu-based role.
Architect and build end-to-end data pipelines, cloud data platform architectures, SQL layers, and BI semantic models with a focus on financial data integration and data-quality validation frameworks.
Data engineer designing, building, and maintaining Azure-based ETL pipelines and cloud data architectures for Manulife's enterprise data warehouse, with emphasis on automation, governance, and compliance in a hybrid setup.
Data Engineer responsible for designing, developing, and maintaining ETL/ELT pipelines and data architecture on Microsoft Azure, including Databricks, ADLS Gen2, ADF, and Synapse, while ensuring data governance and quality.
Designs and maintains data pipelines, ETL processes, and data quality solutions for client systems, collaborating with teams to optimize data workflows.
Data Engineer at NNIT's AI Center of Excellence designing and building enterprise cloud data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Azure, Databricks, Snowflake, Python, and SQL to enable AI and analytics for global clients.
Design, develop, and maintain ETL/ELT pipelines and data architecture on Microsoft Azure (Data Factory, Databricks, Synapse) for Manulife's data warehouse in a hybrid setup in the Philippines.
Build data pipelines, deliver dashboards, and generate actionable insights from complex datasets using SQL and Python, collaborating cross-functionally with API integration and AI-assisted analysis.
Data Engineering Consultant building ETL systems and deploying analytics platforms for SaaS and NGO clients, focused on collecting, transforming, and storing data from diverse sources.
Senior Cloud Data Engineer designing, building, and operating production-grade data solutions on AWS and Snowflake, owning CI/CD and deployments to enable enterprise analytics and AI use cases.
Builds and maintains cloud-native fullstack applications using Java and Angular, focusing on scalable backend services, frontend development, and reliable API design within a digital customer ecosystem.
Senior DevOps Engineer automating enterprise network infrastructure with Terraform, Equinix virtual cloud networks, Jenkins pipelines, and Git workflows in an Agile, cross-functional team environment.
Builds and maintains full-stack applications for a solar fintech startup, focusing on web/mobile frontends, databases, and cloud services to enable renewable energy solutions.
Senior fullstack tech lead driving digital transformation through POCs, MVPs, and AI/cloud-native solutions using React, Node.js, .NET, Python, and AI technologies like LLMs and RAG.
Lead tech strategy as an AI/Fullstack Tech Lead, building POCs, MVPs, and AI-enabled solutions using React/JS/TS, Node/.NET/Python, cloud-native APIs, and Microsoft ecosystems in a hybrid setup.
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