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01 / Experience

Where I applied it

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

Jan 2026 — Present

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.

  • Staffing (client withheld): embedded with client management on a managed AWS service — DynamoDB, Glue, Athena, and Airflow — for processing and analytics inside the company.
  • Project-based (client withheld): GCP, BigQuery, and Dataform — Google Ads and Meta Ads connectors, custom API ingestion, Windsor / GA4, medallion modeling (Bronze → Silver → Gold), enrichment, incremental models, and analytics serving.
StaffingProject-basedAWSDynamoDBGlueAthenaAirflowGCPBigQueryDataformGoogle AdsMeta AdsWindsorGA4Medallion

Feb 2025 — Dec 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.

  • Designed and maintained data channels on AWS (Athena, S3, Glue, Redpanda) and dbt so downstream teams could rely on clean, scalable flows.
  • Built incremental, layered models (raw → intermediate → marts) used for analysis, reporting, and conversational AI initiatives.
  • Developed Metabase metrics on user behavior, payment promises, and business visibility for cross-functional stakeholders.
  • Worked with product, outbound, and engineering so models matched how the financial product actually operated.
AWSAthenaS3GlueRedpandadbtMetabaseSQL

Aug 2023 — Feb 2025

Auronix

Data Analyst, Outbound

Mexico

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

  • Wrote SQL in Amazon Athena to produce reports and data models for product and engineering questions.
  • Tracked product and engineering metrics and presented insights so more people in the company could use them.
  • Collaborated on ELT/ETL processes involving Airbyte, Airflow, AWS Glue, and S3.
SQLAmazon AthenaAirbyteAirflowAWS GlueS3

Nov 2022 — Aug 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.

  • Kept administrative files and trackers in Excel and Google Drive so the team could share a single source of working documents.
  • Built executive presentations used in internal and client-facing conversations.
ExcelGoogle DrivePresentations

Education

  • Master’s in Big Data and Data Engineering

    Universidad Complutense de Madrid · Ntic Master · 2024–2025

    Final grade 8.9 / 10. The programme ran on Azure: Storage, Catalog, Azure OpenAI, and Databricks.

    AzureAzure StorageAzure CatalogAzure OpenAIDatabricks
  • Ingeniero Físico Industrial

    Tecnológico de Monterrey · 2018–2023

    Concentration in Data Science — machine learning, data-science principles, and the math and infrastructure behind them.