Hieu Nguyen
Analytics Engineer | Data Engineering (SQL, Python, ELT) | AWS Certified | SAP FI/ERP Financial Systems
- Role
- Data Engineering at Data Science Alliance
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Hieu Nguyen
I am a data and systems professional with 5+ years of experience working with enterprise financial systems and data workflows. My background combines SAP financial systems expertise with hands-on experience building SQL and Python-based data pipelines and analytics-ready datasets.In my previous role as a SAP FI/AA consultant, I worked closely with finance and IT teams to design and automate financial data workflows supporting CAPEX reporting and cross-system reconciliation. This experience gave me strong exposure to enterprise data structures, financial reporting logic, and ERP system integration.More recently, I have been focusing on cloud-based data engineering and analytics engineering projects, building end-to-end ETL pipelines using Python and SQL, implementing data validation workflows, and designing analytics-ready datasets using modern data warehouse concepts such as dimensional modeling and layered architectures (Bronze–Silver–Gold).I hold multiple cloud and data certifications including AWS Certified Data Engineer and AWS Solutions Architect, and I enjoy working at the intersection of data engineering, analytics, and enterprise systems.Currently, I am exploring opportunities in:• Analytics Engineering • Data Engineering • Financial Systems / ERP Data Roles • SAP Finance-related data and reporting rolesTechnical focus areas include:SQL • Python • ETL / ELT • Data Warehousing • Dimensional Modeling • AWS • BigQuery • SAP FIBased in San Diego and open to hybrid or on-site opportunities.
Experience
Data Engineering
Nov 2025 — Present · San Diego, CA, US
Built an end-to-end automated Python ETL pipeline to process monthly LIHEAP assistance data and enrich it with ACS and BLS socioeconomic datasets.• Implemented multi-source, multi-granularity data ingestion and transformation workflows using Python and Pandas.• Designed analytics-ready datasets at ZIP code level with built-in data quality checks (row counts, null checks, sanity checks).• Conducted exploratory data analysis (EDA) and correlation analysis to evaluate relationships between LIHEAP assistance, income, unemployment, and population indicators.• Identified median household income as the strongest indicator of LIHEAP assistance levels, with unemployment showing minimal correlation.• Automated and standardized data preparation workflows, reducing manual data processing time by ~60%(~70+ hours annually).• Improved data reliability and reproducibility, reducing data errors and rework during analysis and reporting.• Currently expanding the dataset to support predictive modeling of LIHEAP pledge amounts by integrating income, household composition, and energy burden indicators.
Education
OMNES Education
Master 2, Corporate Finance
2013 — 2015
Fitec Group
ERP Implementation Certification - SAP S4/HANA Finance, IT
2019 — 2019
Université de Toulon
Degree level, Economics - Management
2009 — 2012
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