Open to Data Engineering roles
I build data-drive systems and scalable applications.
📍 Cebu, Philippines
Projects
Data engineering tools built in production environments.
Experience
Building a foundation in data, software, and enterprise systems through hands-on experience with SQL, analytics, and system integrations.
IT Support Engineer
@ Kuehne + Nagel Global Services Inc.September 2023 – Present- Investigated and resolved data-related incidents using PostgreSQL and Oracle SQL, ensuring data accuracy and integrity across systems (e.g., SALOG, BPA).
- Generated custom reports and data extracts based on user requirements, supporting operational and business decision-making.
- Performed root cause analysis on data discrepancies and pipeline issues, collaborating with cross-functional teams to improve data reliability and system performance.
PostgreSQL
Oracle SQL
Data Analysis
Incident Management
Reporting
Junior JavaScript Engineer
@ CoInspect Philippines Inc.July 2022 – July 2023- Developed and integrated data-driven features using JavaScript, TypeScript, ReactJS, and Next.js, working with structured data from backend services.
- Utilized SQL (PostgreSQL/Oracle) for querying and managing application data, supporting backend functionality and optimization.
- Collaborated with Agile teams to design and implement data flow and API integrations, ensuring efficient data exchange between systems.
JavaScript
TypeScript
React
Next.js
PostgreSQL
Oracle
REST APIs
Software QA Specialist Intern
@ CoInspect Philippines Inc.July 2021 – December 2021- Conducted data validation and API testing using Postman and SQL queries to ensure consistency and accuracy of application data.
- Identified and documented defects related to data processing and integration, improving data quality and system stability.
- Supported testing of workflows involving data pipelines and system integrations, ensuring outputs aligned with business requirements.
SQL
Postman
API Testing
Data Validation
QA
Skills
Technologies I use to build and maintain data systems.
🗄️Data & Databases
PostgreSQLOracle SQLData QueryingData ValidationData Analysis
🔄Data Processing & Integration
API IntegrationData TransformationData Flow Design
📊Reporting & Monitoring
Report GenerationOpenSearchGrafana
💻Programming & Scripting
PythonJavaScriptTypeScriptJavaFlask
⚙️DevOps & Version Control
GitGitHubGitLabGitHub ActionsAnsible Tower
🛠️Tools & Collaboration
JiraConfluence (KB)MS TeamsMS OfficeAgileScrum
🧪QA & Testing
PostmanTestRailAPI TestingSelenium (Web)Appium (Mobile)
🎧IT Support & Service Management
Incident ManagementRoot Cause AnalysisTroubleshootingCustomer ServiceAttention to Detail
Live Dashboard
Sample monitoring data — the kind I work with daily in SALMON & SCALLOP.
System Events vs Alerts — 24h
Event volume and alert rate throughout the day
ETL Pipeline Demo
Interactive
A mock Extract → Transform → Load pipeline. Click Run to simulate ingesting raw system events, normalising them, deduplicating, and loading into a target table.
ExtractTransformLoad
1. Extract — Raw Source Data (OpenSearch / Oracle)
5 raw events ingested
Pipeline not started.
Get in Touch
Interested in working together? Send me a message.
Connect with me
💡 Currently open to Data Engineer roles — remote or hybrid.