Rodrigo Soto - Data Engineer

Rodrigo Soto

Data Engineer

Santiago, Santiago Metropolitan Region, Chile

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Summary

👤

Senior

🎓

Top School

Rodrigo Soto is a Data Engineer with nine years of experience designing cloud-native data platforms, ETL/ELT pipelines, and BI solutions across AWS, Snowflake and Hadoop ecosystems. He builds scalable data lakehouse architectures (Apache Iceberg on S3) and orchestrates PySpark-based transformations while defining semantic models that power Power BI, Grafana and Qlik reporting. Rodrigo blends backend/API development (NestJS, MongoDB) with AI product engineering—prototyping autonomous agents using OpenAI, VertexAI and Vercel AI SDK—to turn data into operational products. SnowPro Core and AWS-certified, he has contributed backend improvements to the high-performance Dgraph graph database, including TLS options and backup/benchmark enhancements. Based in Santiago, Chile, his mechanical engineering background fuels a pragmatic, metrics-driven approach to solving complex data problems and optimizing system reliability.

9 years of coding experience

3 years of employment as a software developer

Ingeniería Civil Mecánica | Pregrado, Ingeniería Civil Mecánica | Pregrado at Universidad de Santiago de Chile

Data Engineering | Diplomado, Data Engineering | Diplomado at Kibernum IT Academy

Github Skills (14)

mtls10

databases10

go10

database-administration10

tls1210

admin10

schema10

tls1310

database10

libtls10

testing9

distributed-systems9

backup8

gzip8

Programming languages (3)

JavaShellGo

Github contributions (5)

hypermodeinc/dgraph

Jan 2017 - Oct 2017

high-performance graph database for real-time use cases

Role in this project:

Back-end Developer

Contributions:11 commits, 12 PRs, 20 comments in 8 months

Contributions summary:Rodrigo contributed to the Dgraph database, focusing on backend and infrastructure-related tasks. They implemented TLS configuration options for client and server connections. The user improved backup performance and added a benchmark test. Furthermore, they fixed schema-related errors and improved password handling within the database.

graphql-serverproductiondatabasegolanggraphql-database

Motakjuq/dgraph

Jan 2017 - Nov 2017

Contributions:60 pushes, 21 branches in 9 months

productiondatabasegraphgraph-database

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