// hello, world

Renz Granadozo.

role:

Building scalable data pipelines & cloud infrastructure
that turn raw data into engineering clarity.

01.

About Me

Electronics Engineer turned Data Engineer — bridging hardware logic with cloud-scale data architecture.

My path started in electronics and project site engineering, where I developed a rigorous systems-thinking mindset. Today, I design and build robust ETL pipelines, cloud data platforms, and analytics infrastructure that scale from prototype to production.

I specialize in the modern data stack — orchestrating complex workflows on AWS, transforming data at scale with Databricks and Spark, and building warehousing solutions on Snowflake. I believe good data engineering is invisible: it just works, every time.

3+Years Experience
8+Technologies
10+Projects Delivered

// stack

  • Python
  • SQL
  • AWS
  • Snowflake
  • Databricks
  • Apache Spark
  • Airflow
  • Docker

// focus

Data pipeline design, cloud ETL architecture, warehouse optimization, and workflow orchestration at scale.

02.

Skills

Data Engineering

Apache SparkApache Airflow dbtKafka PySparkETL/ELT Data ModelingDelta Lake

Cloud Platforms

AWS S3AWS Glue AWS LambdaAWS Redshift DatabricksSnowflake EC2 / IAMCloudWatch

Databases

PostgreSQLMySQL Snowflake SQLRedshift DynamoDBMongoDB BigQuery

DevOps & Tools

DockerGit / GitHub CI/CDTerraform Linux / BashVS Code JupyterJira
03.

Projects

YouTube Data Engineering Pipeline

End-to-end AWS data pipeline ingesting YouTube trending data via API, processing with Glue & Lambda, and serving analytics through Athena and QuickSight dashboards.

Python AWS S3 AWS Glue AWS Lambda AWS Athena AWS Step Functions AWS SNS AWS IAM

Databricks FMCG ETL Pipeline

Medallion architecture (Bronze → Silver → Gold) for FMCG retail data. Built with PySpark on Databricks and Delta Lake for ACID compliance.

Databricks SQL PySpark AWS S3 Delta Lake Unity Catalog

Snowflake Banking Analytics Platform

Cloud data warehouse solution for banking analytics. Features multi-cluster Snowflake setup, Streams & Tasks for CDC, and role-based access control for compliance.

Snowflake SQL Python Kafka Airflow dbt CDC AWS S3 CI/CD

Stride: Building Management Software

Simulates how building operational data is organized, monitored, and visualized in real-world facilities.The system allows users to create projects (buildings), define monitoring points, manually input data, visualize trends, and manage alarms.

FlaskSQLiteHTML/CSSJavaScriptIoT

FraudDB: Fraud Detection System

A comprehensive fraud detection system that analyzes transactional data to identify suspicious patterns and prevent fraudulent activities.

Python Machine Learning Pandas Scikit-Learn PostgreSQL Streamlit
04.

Experience

Mar 2025 — PresentFull-time

Data Engineer

Self-Directed / Freelance

  • Designed and deployed end-to-end ETL pipelines on AWS using S3, Glue, Lambda, and Athena
  • Built streaming and batch data architectures with Apache Spark and Databricks
  • Implemented Snowflake data warehouse solutions with optimized query performance
  • Containerized data workflows using Docker and automated deployments with CI/CD
AWSPythonDatabricksSnowflake
Feb 2026 — PresentEducation

Data Engineering Pilipinas x DataCamp Scholar

Remote, Philippines

  • Selected as a scholar in a program focused on Data Engineering, Data Science, and Machine Learning
  • Developing skills in data pipeline design (ETL/ELT), data modeling, and data transformation using Python and SQL
  • Gaining exposure to modern data engineering tools, workflow orchestration, and cloud-based data platforms
  • Engaging with a community of data professionals for continuous learning and knowledge sharing
ElectronicsC/C++MATLAB
Jul 2025 — Oct 2025Full-time

Automation Specialist

Engineering & Construction Sector

  • Deployed smart automation systems using KNX, BACnet, Modbus, Zigbee, TCP/IP
  • Migrated legacy project reporting systems directly into the Microsoft ecosystem
  • Built structured SharePoint workflows to automate team progress tracking
  • Transitioned manual Excel processes into automated Power Automate flows
PythonExcelProject Management
Jun 2023 — Mar 2025Full-time

Project Site Engineer

Engineering & Construction Sector

  • Managed on-site technical operations and coordinated multi-disciplinary engineering teams
  • Developed data-driven reporting systems that reduced project delay by 20%
  • Introduced structured documentation workflows and automated progress tracking tools
  • Transitioned core project reporting from manual Excel sheets to automated Python scripts
PythonExcelProject Management
Aug 2018 — May 2022Education

BS Electronics Engineering

Saint Louis University — Baguio, Philippines

  • Licensed Electronics Engineer and Technician (ECE, ECT)
  • Capstone: ECOSIM: A Computer-Based Simulator for Electronic Communication System Laboratory Course – Presented during the 11th International Senior Project Conference in Engineering and Technology (ISPC 2023) in King Mongkut’s University of Technology Thonburi (KMUTT) – Thailand
  • First exposure to programming: Python, C/C++, MATLAB for signal processing projects
ElectronicsC/C++MATLAB
05.

Certificates

// Click arrows or drag to browse

Associate Data Engineer in Databricks
DataCamp

Associate Data Engineer in Snowflakes

June 2026 View Credential
Associate Data Engineer in Databricks
DataCamp

Associate Data Engineer in Databricks

June 2026 View Credential
Data Engineer
DataCamp

Data Engineer

April 2026 View Credential
AWS Cloud Practitioner (CLF-C02)
DataCamp

AWS Cloud Practitioner (CLF-C02)

April 2026 View Credential
Cybersecurity
Harvard University - CS50

Cybersecurity

April 2026 View Credential
Associate Data Engineer
DataCamp

Associate Data Engineer

March 2026 View Credential
Databases with SQL
Harvard University - CS50

Databases with SQL

February 2026 View Credential
Computer Science
Harvard University - CS50

Computer Science

February 2026 View Credential
Programming with Python
Harvard University - CS50

Programming with Python

December 2025 View Credential
06.

Contact

Let's build something
together.

Open to data engineering roles, freelance pipelines, or just a conversation about the modern data stack.