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Builds and maintains reliable data models and analytics solutions to ensure accurate, trustworthy data for business decisions.
Lead the design and delivery of complex data center solutions at a Philippine telecom, coordinating with Sales, DCSO, DCES, and Design & Construction to prepare BOMs, data forms, and vendor agreements while ensuring data integrity and risk management.
Full-Stack AI Engineer building production-grade GenAI, RAG, and Agentic AI applications (copilots, knowledge platforms, conversational AI) using React, Node.js/Python, and LLM platforms for a financial services client.
Hybrid Data Center Network Engineer at Vestas, designing and delivering secure network solutions across Azure, VMware NSX, Citrix NetScaler, and Cisco Nexus ACI while mentoring juniors and supporting 24/5 operations.
Technical Sales Engineer based in Makati City, Philippines, engaging clients to understand data center requirements and deliver tailored proposals. Core technologies involve MEP systems, with MS Office required and AutoCAD/Revit preferred.
Frontend engineer building data visualizations, dashboards, and accessible frontend applications with geospatial data, using AI-assisted development tools.
Design, build, and maintain scalable Kafka platforms for enterprise event streaming and real-time data integration, working with Kafka Connect, Kafka Streams, and Schema Registry in distributed cloud environments.
Full-Stack AI Engineer building production-grade GenAI, RAG, and agentic AI applications (knowledge platforms, copilots, conversational AI) for a financial services client, using React on the frontend with Node.js/Python backends and cloud integration.
Monitor network KPIs, analyze drive test data, and collaborate with RF planning and field teams to optimize network performance through field testing, site integration support, and post-launch optimization reporting.
Client-facing Solutions Engineer designing and delivering complex data center infrastructure solutions—racks, power, cooling, and cabling—while managing customer project requests, BOMs, proposals, and vendor coordination for STT GDC Philippines.
Data Science Consultant on a long-term project translating business problems into ML, predictive modelling, and data engineering solutions within the banking domain.
Build and maintain reporting infrastructure, data pipelines, and dashboards using SQL and Python to deliver customer-specific analyses, capacity models, and benchmarking insights—onsite in Quezon City on an EST night shift.
Design, code, and enhance Salesforce analytics components to deliver scalable dashboards and data-driven solutions, collaborating with teams as an SME using agile practices and SDLC expertise.
Designs and maintains enterprise-scale data solutions for MDM and cloud analytics, building scalable pipelines and BI dashboards using Databricks, Azure/AWS, and Power BI/Tableau for global clients.
Designs and maintains enterprise-scale data solutions for MDM and cloud platforms, collaborating with cross-functional teams for scalable, secure data systems in Manila for a 1-year project.
Designs and builds cloud-based data pipelines to ingest, transform, and validate data from multiple sources for reporting and analytics, specializing in Fabric, Databricks, and Snowflake.
Senior Data Engineer maintaining and operating Manulife's Enterprise Data Lake on Azure, using Hadoop, Databricks, Spark, and Python to support data integration, incident response, and platform stability for insurance data domains.
Data Engineer building and maintaining scalable ETL pipelines and data solutions using Microsoft Azure services such as Data Factory, Synapse, Databricks, and Fabric, with SQL, Python, and Spark.
Data Engineer designing, building, and maintaining scalable ETL data pipelines on Microsoft Azure (Data Factory, Synapse, Databricks, Azure Fabric) using SQL, Python, and PySpark in a hybrid setup in the Philippines.
Leads data engineering projects by designing scalable pipelines, mentoring teams, and optimizing cloud-based data systems using SQL, Python, PySpark, Databricks, and AWS.
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