Alexis Avila
@alexisavila
Construyo plataformas de datos Azure y productos de IA que reducen latencia, costos y trabajo manual.
ArgentinaWhat I'm looking for
En Endava, habilité capacidades LLM para tres equipos de producto y reduje la recuperación de información técnica de 15 minutos a menos de 30 segundos con pipelines RAG sobre Azure. También incrementé 25% la precisión de queries SQL generadas por LLM mediante un framework de evaluación automatizada integrado a CI/CD.
He construido y operado plataformas end-to-end de Data Lake, Data Warehouse y Lakehouse para Arcos Dorados y Universidad Siglo 21, optimizando pipelines con Azure Databricks, PySpark, Data Factory y Delta Lake. Me enfoco en integraciones REST robustas, cargas incrementales e idempotentes, calidad de datos y servicios de producción observables para equipos regionales y distribuidos.
Experience
Work history, roles, and key accomplishments
Data Engineer & AI Engineer
ENDAVA
Jun 2025 - Aug 2026 (1 year 2 months)
Increased LLM-generated SQL query accuracy by 25% through an automated evaluation framework, and reduced technical information retrieval time from ~15 minutes to under 30 seconds for 40 internal users by implementing RAG pipelines with LangChain on Azure. Developed REST microservices in Python/FastAPI, maintained 99.5% service availability, and shortened release cycles from 5 days to 1.
Data Engineer
Arcos Dorados
Jan 2024 - May 2025 (1 year 4 months)
Reduced daily ETL pipeline execution time by 35% on ~50 GB/day of transactional data by redesigning Azure Databricks jobs with partitioning, Z-Ordering, and shuffle/join optimization. Centralized ingestion from 4 delivery platforms into a single Data Lake, enabled fraud detection on over 2 million monthly orders, and eliminated data duplication through idempotent pipelines with MERGE operations on
Data Engineer
Universidad Siglo 21
Jun 2021 - Dec 2023 (2 years 6 months)
Delivered daily insights to 6 business teams on data from over 50,000 students by building end-to-end pipelines in Azure under a Medallion architecture. Reduced data latency from 24 hours to 30 minutes, cut monthly compute costs by 30%, and achieved 100% monitoring coverage for critical pipelines.
Education
Degrees, certifications, and relevant coursework
Universidad Tecnológica Nacional, FRC
Engineering Degree, Information Systems Engineering
2021 -
Pursuing a degree in Information Systems Engineering, with ongoing coursework and an estimated completion date.
Availability
Location
ArgentinaAuthorized to work in
Portfolio
github.com/Mutenatt/capacitAppJob categories
Skills
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