About
Paul Christian Mandap
I'm Paul — a Computer Science graduate from the Technological Institute of the Philippines, Manila, where I finished Cum Laude with a machine learning specialisation.
My internship at Stratpoint was where data engineering stopped being coursework. I built an ELT pipeline that turned three messy source files into a dimensional warehouse an insurance underwriter could actually price risk from — and spent most of my time on the unglamorous half: quarantining bad rows with reason codes instead of dropping them, making the whole warehouse rebuild from a single trigger, and proving the rebuild was byte-identical rather than assuming it.
Before that, at Globe Telecom, I consolidated 31 scattered spreadsheets into two governed KPI masters and found a flaw in the report's blend logic that had been quietly producing wrong numbers.
Outside work I build systems that run on my own hardware. A personal AI agent platform on a consumer GPU with no cloud model anywhere in it, and a desktop voice assistant that speaks with a Philippine-English accent implemented as a phoneme transformation rather than a trained voice. Both taught me more about measurement than about models: most of what I learned came from benchmarks that disagreed with what I expected.

01Experience
Jun 2026 — Aug 2026
Metro Manila, PH
Stratpoint Technologies
Data Engineering Intern
- Architected an end-to-end ELT pipeline in Airflow, PySpark and PostgreSQL, transforming raw sources into a three-layer dimensional star schema of 20 dbt models.
- Cut a full-warehouse rebuild to a single idempotent Airflow trigger completing in 1m22s, with byte-identical output verified against the previous run.
- Reconciled 12,067 field values across a 45,433-record catalog against TMDB, growing usable data 105% and exposing a true failure rate of 35.7% where the raw data showed 30.0%.
- Optimised a core query 27% faster and cut its index 76% smaller through EXPLAIN ANALYZE plan analysis and partial indexing.
- Enforced quality at both layers: 104 dbt tests that fail the pipeline run on reconciliation drift, and 65 pytest cases across the Python layer.
Jan 2026 — Apr 2026
Manila, PH
Globe Telecom
Territory Service Quality Assurance Intern
- Consolidated 31 source sheets into 2 governed KPI masters feeding Looker Studio, standardising 20+ mobile and broadband metric definitions and documenting KPI-to-source lineage.
- Found and fixed a flaw in the report's blend logic, rebuilding it on one consolidated master and the full 2025 dataset to collapse 3 overlapping tables into a single source of truth.
02Leadership
Aug 2025 — Apr 2026
AWS Cloud Club — TIP Manila
Chief Technology Officer
- Led a serverless web deployment workshop for 50+ students, delivering hands-on AWS training in VPC, security groups, S3, Lambda and EC2.
- Mentored 30+ officers and members on cloud computing fundamentals across compute, storage and networking.
03Core technologies
Data Engineering
AI & Machine Learning
Cloud & Analytics
Software
04Education
Technological Institute of the Philippines
BS Computer Science — Machine Learning
Cum Laude · GWA 1.52
Manila, PH · June 2026
05Certifications
AWS Certified Cloud Practitioner
Amazon Web Services · May 2025 · Valid through May 2028
EF SET English Certificate — 78/100
EF SET · Feb 2026 · C2 Proficient
Data Analytics Essentials
Cisco · Apr 2025
NAISC Certificate of Participation
AI Singapore · May 2025 · Credential ID 1183