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Portrait of Carlos Corona

Carlos Corona

I design data systems that make complex information useful.

Data Engineer · Analytics Engineer · Applied AI

System / Profile

Status

Active

Location

Mexico · 2026

Focus

Data systems

Currently

Data Engineer

SOURCE

  1. ingest
  2. model
  3. serve
  4. decision

Professional snapshot

Data Engineer · Analytics Engineer · Applied AI

Mexico · Remote / International

Currently

Data Engineer

Vascar Solutions

Experience

Data & Analytics

2023 → Present

Background

Physics Engineering

→ Data systems

Worked across

  • Marketing data
  • Financial services
  • Product analytics
  • Data platforms
  • Outbound systems
  • Applied AI

Core

SQLPythondbtBigQueryAWSGCPAzureAirflowDataformFastAPIAPIsAnalytics

01 / Experience

Where I applied it

View experience

Vascar Solutions, Auronix, and Totum Talent — with the work, not only the title.

Jan 2026Present

Vascar Solutions

Data Engineer

Data engineering consultancy · staffing, then project-based

Mexico · Remote

I have worked both delivery models at Vascar: first staffing embedded with a client team; then project-based ownership of a GCP / BigQuery platform. Different stacks, different ways of working.

StaffingProject-basedAWSDynamoDBGlueAthenaAirflowGCPBigQueryDataformGoogle AdsMeta AdsWindsorGA4Medallion

View role

Feb 2025Dec 2025

Auronix

MID Data Analyst, Financial Services

Mexico

Worked at the intersection of analytics, product and financial-services operations, modeling conversational and transactional information for reporting and decisions.

AWSAthenaS3GlueRedpandadbtMetabaseSQL

View role

Aug 2023Feb 2025

Auronix

Data Analyst, Outbound

Mexico

Supported outbound systems with reporting, ELT collaboration, and product metrics — messaging, behavioral data, and operational analytics.

SQLAmazon AthenaAirbyteAirflowAWS GlueS3

View role

Nov 2022Aug 2023

Totum Talent

Database and Project Intern

HR consultancy

San Pedro Garza García, Nuevo León, Mexico

Supported administrative operations at an HR consultancy: Excel and Google Drive for day-to-day files, plus executive presentations for partners and clients.

ExcelGoogle DrivePresentations

View role

Professional domains

Data platforms

Multi-source ingestion · modeling · reliability

Marketing analytics

Paid media · web analytics · client reporting

Financial services

Collections · conversations · transactions · product metrics

Outbound systems

Messaging · behavioral data · operational analytics

Applied AI

LLM applications · decision support · experimental systems

Systems > tools

02 / Selected work

What I build

View all

Professional systems

Client names withheld when needed. The architecture is what I can publish.

Professional system

2026

Marketing data platform

Multi-client analytics platform integrating advertising, web analytics and operational sources into a unified warehouse and reporting layer.

SOURCE
Google Ads · Meta Ads · GA4 · custom APIs · Windsor
SYSTEM
Ingestion → Bronze → Silver → Gold → Analytics
ENGINEERING
BigQuery · Dataform · incremental models · assertions · historical backfills
ROLE
Architecture · ingestion · modeling · production reliability

Case study

Professional system

2026

Incremental identity / transaction pipeline

Late-arriving data, temporal matching, and incremental processing with cost control — client withheld.

SYSTEM
Source → Match → Incremental model → Serve
ROLE
Modeling · incrementality · reliability

Case study

Personal / research

Systems with a public repo or a documented experiment.

03 / About

Why I think this way.

From physics to data systems

I trained as an Industrial Physics Engineer, with a concentration in Data Science — machine learning, data-science principles, and the math and infrastructure around them. Physics still shapes how I work with data: understand the system, identify its constraints, measure, then decide.

I sit between engineering, analytics, and the business question. Pipelines and models are the medium. The point is a decision someone can defend: who to call, what to recommend, what to stop doing.

I care more about grain, incrementality, and whether a number can be reproduced than about collecting tools. Data engineering is how I practice that now. It does not have to be the whole identity.

Outside data: travel, business, cities, science and the systems behind them.

I also help organize Graffito Fest, a hip-hop and rap festival and freestyle tournament in Monterrey. It started in 2025 with Melissa Corona; we've had Eptos and Bizor.

Carlos Corona at the Universidad Complutense de Madrid master’s ceremony
Madrid / 2025
  1. 2018

    Physics

    Tecnológico de Monterrey · Industrial Physics Engineering · Data Science concentration

  2. 2023

    Data / analytics

    Product, outbound and finance teams

  3. 2025

    M.Sc. Data Engineering

    Universidad Complutense de Madrid · Azure (Storage, Catalog, OpenAI, Databricks)

  4. Now

    Data systems

    Engineering as the main medium

03 / About

Measure before optimizing

05 / Stack

Tools I use

AWS, GCP, and Azure — I've shipped work on each. The inventory is tooling, not a certification wall.

TOOLING

SOURCE

  • APIs
  • S3
  • Athena

INGEST

  • Airbyte
  • Airflow

TRANSFORM

  • dbt
  • Dataform
  • SQL

SERVE

  • FastAPI
  • Metabase
  • Streamlit
AWSGCPAzureBigQueryDatabricksAthenaPython

06 / Contact

Open to conversations about Data Engineering, Analytics Engineering, Applied AI, and projects that need that mix. Email is the most reliable path.

carloscorona99@gmail.com