Open to data opportunities

Data that makes
decisions clearer.

Hi, I'm Mohammed Fitri! An IT professional with 9 years of experience in finance, a passion for solving problems, and a curiosity for all things data. Currently exploring data engineering, cloud, and AI through hands-on projects.

THE DATA JOURNEY

From scattered.
To structured.

A little curiosity. A clear process.

01 COLLECT

Raw possibilities

02 TRANSFORM
Python + SQLClean · model · connect

Purposeful engineering

03 DELIVER

Useful answers

PYTHON✳POSTGRESQL✳DATA MODELING✳LOOKER STUDIO✳PYTHON✳POSTGRESQL✳GOOGLE CLOUD PLATFORM (GCP)✳BIGQUERY✳CLOUD STORAGE✳
01About me

Curious about the
why behind the numbers.

For the past 9 years, I've worked as an IT Executive in the financial industry. Along the way, I've taken the initiative to build tools, automate repetitive tasks, and find better ways to help my team work with data.

I'm naturally curious and always looking for something new to learn. After earning my Google Cloud Professional Data Engineer certification, I'm now building hands-on projects and exploring data engineering, cloud, and AI as I work toward my next career chapter.

9+Years in IT
GCPCertified
∞Curiosity to learn
02Technical toolkit

Tools for the
full data journey.

01 /

Programming & Automation

Building practical solutions to automate workflows, process data, and reduce repetitive work.

PythonSQLPandasJupyterExcel VBA
03 /

Cloud & Analytics

Exploring cloud data technologies and turning datasets into meaningful insights.

Google CloudBigQueryLooker StudioGoogle Sheets
04 /

Tools & Collaboration

Using development tools and clear documentation to build, manage, and share solutions.

GitGitHubLinuxVS CodeTechnical Documentation
03Featured project

CASE STUDY / 001

Reading the road
to electrification.

MY / REGISTRATION DATA2024 — 2026
+VISUALIZATION PLACEHOLDER

Verified 2024–2026 registration data or a real dashboard screenshot will be added here.

NO INVENTED STATISTICS

Malaysia EV vs ICE Car Registration Analysis

What does the registration data reveal about the shift to electric?

Built an end-to-end pipeline for 2024–2026 government registration data: Python ingests Parquet files, PostgreSQL transforms and aggregates the data, Google Sheets synchronizes outputs, and Looker Studio visualizes the results.

STACKPython · SQL · PostgreSQL
PyArrow · Docker · Google Sheets · Looker Studio
PIPELINEGovernment Parquet data
Ingestion · transformation · visualization
04Certifications & Learning

Always learning,
always applying.

Building the foundation for what comes next, one applied skill at a time.

Next up

Currently Exploring

01Data Engineering
02Cloud Platforms
03AI & Machine Learning
05Resume

A quick look at
what I bring.

For a detailed view of my experience, projects, and education, request my current resume.

Request resume ↗
06Contact

Have a data question
worth exploring?

I’m open to conversations about data engineering, analytics, and opportunities to build useful things with data.