DATA ENGINEER / GEOSPATIAL SYSTEMS
I build reliable data pipelines across batch, streaming, cloud, and geospatial systems. 4+ years of experience.
EARTH OBSERVATION
From source signals to trusted systems.
THE ENGINEERING BEHIND THE OBSERVATION
GEOSPATIAL DATA ENGINEERING
Select a stage to trace the engineering.
Six engineering responsibilities, one connected system. Select a stage above to explore the verified implementation.
An original observation spacecraft connects source acquisition, validation, transformation, governance, storage and serving. The interactive scene is optional; the evidence remains accessible below.
SELECTED WORK / VERIFIED SYSTEMS
Three verified projects show distributed processing, dimensional modeling, data-quality controls, and honest system boundaries.
01 / FLAGSHIP
A governed NASA FIRMS platform preserving source truth, deterministic lineage and replay-neutral analytics.
View project case study ↗Explicit limit AWS 10M not executed. Spacecraft, solar activity and acquisition signals are illustrative, not measurements or live mission data.
02 / SUPPORTING
PostgreSQL dimensional warehouse loading 400,000 sales facts across five source domains, with tested SCD Type 2 dimensions, quarantine, and repeat-safe loading.
20 analytical SQL queries · 20 automated tests · hosted CI passed
03 / SUPPORTING
Deterministic local batch ETL with a separately verified 100,000-order run, transactional SQLite snapshot replacement, and invalid-measure quarantine.
6 local tests passed · hosted CI passed on a 1,000-row fixture
WEB DESIGN & ENGINEERING · NOT DATA-ENGINEERING EVIDENCE
Two client websites I created and delivered, from visual direction to launch. Explore the design decisions, interactions and technology behind each project.
04 / WEB DESIGN & ENGINEERING
A cybersecurity portfolio with an animated coded portrait, colour reveal and motion controls.
Website design and delivery · Launched October 2026
05 / WEB DESIGN & ENGINEERING
A three-page security engineering portfolio with an interactive coded portrait and a connected capability map.
Website design and delivery
ENGINEERING IDENTITY
Capabilities are presented as working engineering patterns—not a keyword inventory.
01 / Express
Python, SQL, Java, Scala, Shell, JavaScript, and HTML/CSS.
02 / Move
Apache Spark, Apache Kafka, Airflow, Hadoop, HDFS, YARN, Hive, Presto, AWS Glue, Informatica, ETL/ELT, batch and streaming pipelines, and CDC.
03 / Operate
AWS EMR Serverless, S3, Glue Data Catalog, Athena, Kinesis, Data Firehose, Lambda, Redshift, IAM, KMS, CloudFormation, and CloudWatch.
04 / Model
PostgreSQL, PostGIS, SQLite, dimensional modeling, star and snowflake schemas, SCD Type 2, partitioning, bucketing, and indexing.
05 / Locate
NASA FIRMS, satellite-derived active-fire observations, geospatial event processing, EPSG:4326/WGS84, spatial indexing, bounding-box queries, acquisition-time semantics, replay-neutral spatial-temporal aggregation, and lineage/provenance.
06 / Assure
Data validation, reconciliation, idempotency, retries, failure recovery, quarantine, CI/CD, Git, Jenkins, Docker, ELK, observability, and root-cause analysis.
07 / Publish
Node.js, Vercel, Supabase, Zod, responsive design, accessibility, and Content Security Policy.
CAREER FOUNDATION
Experience across financial-services and healthcare environments, supported by independently verified portfolio systems.
Batch, streaming, AWS data-lake, warehouse, quality, delivery, and operational reliability work.
Distributed Spark/Hadoop processing, dimensional modeling, CDC, validation, governance, and production support.
Education Master’s in Data Science and Artificial Intelligence · Campbellsville University · December 2024
Certifications AWS Certified Data Analytics – Specialty · AWS Certified Solutions Architect – Associate · Google Cloud Professional Data Engineer
OUTPUT
Résumé available to recruiters and hiring teams upon request.