Samuel Uy

Data Engineer & Content Creator

LIVE • Analytics

183,176 followers

Azure

Python

Power BI

ETL

Databricks

Azure

Python

Power BI

ETL

Databricks

Azure

Python

Power BI

ETL

Databricks

Certifications

DP-700: Fabric Data Engineer Associate - Microsoft

DP-203: Microsoft Data Engineering Associate - Microsoft

Cloud Data Integration, Advanced R42 - Informatica

Data Warehouse Essentials - Snowflake

Brand Collaborations

I love partnering with brands that align with my values and creative vision. These collaborations allow me to create authentic content that resonates with my audience - because genuine partnerships always shine through!

SM Store

Aquaflask

McDonald's

b'lue

Data Engineering Projects

Real problems. Real pipelines. These are hands-on builds where I cleaned chaos, automated flows, and shipped data that actually gets used.

Fintech Client (PH) - Insurance ETL

50+ Azure pipelines with automated ETL processes

Azure Data FactorySharePointBlob Gen2Power BI

SharePoint

Blob Storage

Dataflow

Azure SQL DB

Impact: 75% reduction in manual data processing, 99.9% data accuracy

Project Details

Built comprehensive data infrastructure handling SharePoint → Blob Gen2 → Dataflow → Azure DB pipelines. Implemented automated ETL processes, Power BI reporting dashboards, and data integrity monitoring systems.

Data Science Client (JP) - SOM Pipeline

Optimized ML solution for asphalt condition analysis

PythonPandasDaskSOMPyArrowFFT

Raw Data

PyArrow Prep

FFT Analysis

SOM Model

Repair Reports

Impact: 90% runtime reduction, 80% faster I/O operations

Project Details

Optimized machine learning solution to measure asphalt conditions and determine road repair needs. Integrated cProfile for performance analysis, used PyArrow & NumPy for the prep module, and applied FFT analysis for signal processing.

DLSU Mobile Sociometric System

Multimodal sensor system for social interaction detection

Random ForestSVMMobile SensorsMachine Learning

Mobile Sensors

Data Processing

ML Models

Interaction Detection

Impact: 94% accuracy in social interaction detection

Project Details

Created mobile sociometric system using multimodal sensors with Random Forest and SVM models for high-accuracy social interaction detection and analysis.