Let's explore my journey through data

I've built this interactive experience to show you how I think about data. Walk through the ETL process with me—extract the raw details, transform them into something meaningful, and see the complete picture.

Click the steps in your preferred order to build your pipeline:

Extract
Transform
Load
1
2
3

Skip to Profile →

Extract
Transform
Load
// Source: LinkedIn, Resume, GitHub
// Status: Extracting raw data...
// Fun fact: I once optimized a query at 2am that cut runtime from 4 hours to 12 seconds

{
"name": "Jason Ungheanu",
"title": "Sr. Data Engineer",
"location": "Orange County, CA",
"years_experience": 8,
"education": [
{
"degree": "MS Applied Data Science",
"school": "USC",
"status": "In Progress (2024-2026)"
},
{
"degree": "BA Economics, Statistics",
"school": "CSU Fullerton"
}
],
"certifications": [
"Deep Learning Nanodegree (Udacity, 2021)",
"Data Engineering Nanodegree (Udacity, 2019)"
],
"skills_raw": [
"SQL", "Python", "BigQuery", "Postgres",
"Azure SQL", "Looker", "dbt", "ETL",
"Fivetran", "GCP Functions", "Airbyte", "dlt",
"Django", "Airflow", "PowerShell", "Power BI",
"DevExpress", "Docker", "REST APIs", "SSRS"
],
"experience_raw": [
{ "role": "Sr. Data Engineer", "company": "Truist", "years": "2023-Present" },
{ "role": "Freelance", "company": "Remote", "years": "2020-2023" },
{ "role": "Data Engineer", "company": "BibleProject", "years": "2021-2023" },
{ "role": "BI Developer", "company": "BankDirect", "years": "2017-2021" }
],
"projects_count": 6,
"platforms_mastered": 5
}

Click each transformation below to process the data. Apply all three to continue.

Input Data

Skills (Raw)

"SQL", "Python", "BigQuery", "ETL", "Data Modeling"...

Experience (Unstructured)

{role, company, years} x 5 records

Education (Nested)

Array of degree objects


Clean

Aggregate

Enrich

Output Data

Skills (Categorized)

Waiting for transformation...

Experience (Timeline)

Waiting for transformation...

Education (Formatted)

Waiting for transformation...

Jason Ungheanu

Profile

Jason Ungheanu

Senior Data Engineer

Results-driven Data Engineer with a strong background in data architecture, ETL pipelines, and analytics. Passionate about building scalable data systems and applying AI/ML techniques to extract insights from complex datasets. Currently pursuing a Master's in Applied Data Science with a focus on advanced data engineering, cloud architecture, and the research applications of machine learning and data science.

Stats (click to explore)

8+

Years Exp

6+

Projects

5+

Platforms

Skills

SQL Python BigQuery Postgres Azure SQL Looker dbt ETL Fivetran GCP Functions Airbyte dlt Django Airflow PowerShell Power BI DevExpress Docker REST APIs SSRS

Experience

Sr. Data Engineer

Truist (acquired BankDirect)
2023 - Present

Data Engineer

BibleProject
2021 - 2023

Freelance Data Engineer

Remote
2020 - 2023

BI Developer

BankDirect Capital Finance
2017 - 2021

Education

MS Applied Data Science

University of Southern California
2024 - 2026 (In Progress)

BA Economics, Statistics

CSU Fullerton
2009 - 2013

Certifications

Deep Learning Nanodegree

Udacity
2021

Data Engineering Nanodegree

Udacity
2019

Contact

Orange County, CA

Jasonungheanu@gmail.com

(714) 869-4602

Download Resume

Pipeline Executed Successfully!

Data extracted, transformed, and loaded in record time.

🔄

Ah, an ELT Enthusiast!

I see you prefer to Load before Transform. Modern data warehouses like BigQuery and Snowflake have made this increasingly popular!

💡 Fun Fact: ELT became mainstream with cloud data warehouses because they can handle transformations at scale. The "T" moved to the end when storage became cheaper than compute!

Great choice! For this portfolio demo, we'll use the classic ETL flow.

Projects