Juan CampiasData Engineering · Applied AI · Buenos Aires

I help companies integrate artificial intelligence build data infrastructure and architect cloud solutions

From strategy to production — scalable pipelines, cloud architecture, and AI solutions that deliver measurable results.

/01 Get in Touch →

70% Lower LLM API cost with the agent harness my team adopted

3× Faster reporting, now running in parallel on the same infrastructure

6 years Data engineering across payments, fintech and consulting

Education Designed and taught a complete Big Data specialization

Python

PostgreSQL

Airflow

dbt

Spark

Redshift

Snowflake

BigQuery

Databricks

AWS

GCP

Docker

Kubernetes

FastAPI

Linux

Ollama

$ whoami · perfil

About me

Senior Data & Cloud Engineer with 6 years of experience designing data platforms, cloud infrastructure and AI integrations, most recently for a payments company operating across LATAM, EMEA and APAC.

I lead technically: I translate what finance, tax and business teams need into data solutions, guide the engineers working on them and unblock delivery across teams. Hands-on with AWS, GCP and Snowflake (Azure in consulting engagements), with a strong background in technical education, from the Big Data specialization I created to a hands-on Snowflake course for a bank.

$ cat ./results.log · 03 cases

Selected results

C01 Team standard

−70%

AI engineering harness

Built the agent harness that became my team's standard workflow: repository-specific skills, Atlassian and docs access, and LiteLLM cost tracking. Routing work across OpenAI, open-source and Anthropic models cut API cost by 70% versus an Anthropic-only flow. I trained my teammates to use it.

OpenCode LiteLLM Agent skills

C02 Production

3×

Faster reporting on the same infrastructure

Heavy reports over 15M rows used almost all of their Kubernetes pod, so they had to run one at a time. I rewrote them with Polars: they run in a third of the time and use a fraction of the resources, so several jobs now share the same pod without adding infrastructure.

Polars Kubernetes Python

C03 Delivered

3 teams

Finance reconciliation integration

Designed and delivered the integration of cost and reconciliation data on Iceberg over S3 and Databricks, bringing Finance, Data Engineering and DataOps together and unblocking each stage until completion.

Iceberg Databricks AWS S3

$ ./services.sh · 07 capabilities

Services

I deliver integrated data and AI solutions — from architecture to production — that drive measurable results.

S01 Online

AI Integration

I design and deploy custom AI solutions and LLM integrations that automate your workflows.

Claude API OpenAI API LiteLLM

S02 Online

Data Infrastructure

I build scalable ETL pipelines, data lakes, and warehouses tuned for performance.

Airflow dbt BigQuery

S03 Online

Cloud Architecture

I architect cloud solutions on AWS, GCP, and Snowflake — optimized for cost, scale, and reliability.

AWS GCP Snowflake

S04 Online

Team Training

I train teams in data engineering, Python, and modern data practices.

Python Pandas Notebooks

S05 Online

Automated Reporting

I build scheduled reporting pipelines that keep stakeholders up to date — no manual work.

Looker Metabase Airflow

S06 Online

AI Assistants & Agents

I build assistants and agents on your data — with evaluation gates before model changes and guardrails for sensitive information.

Agents Evals Semantic search

Flagship S07 · New in 2026

Multimodal AI Automation

I automate daily workflows with AI that sees, reads, and understands — documents, images, PDFs, videos. Built for real workloads, like OCR and semantic search over 2,000-page scanned books.

Claude Vision Gemini Vision APIs OCR

▸ Capabilities

Documents PDF·DOCX

Images PNG·JPG

Audio · Video MP4·MP3

Multimodal CTX·MIX

/INIT Let's discuss your specific needs ● 24h response · Free discovery call

$ git log --career · 06 commits

Track record

Mar 2026 - Jul 2026

Sr BI Engineer III Financial Technology

Led technical direction on three finance data projects, guiding the engineers assigned to them. Delivered the cost and reconciliation integration on Iceberg and Databricks, and joined the company's first AI Champions cohort.

Feb 2025 - Mar 2026

Sr BI Engineer II Financial Technology

Designed and maintained 100+ production Airflow DAGs and optimized Redshift workloads over billions of payment records, with data-quality checks before and after each load.

Sep 2023 - Feb 2025

BI Data Engineer Staffing Assignment

Assigned to the same payments company: migrated legacy Pentaho and PHP reports to Amazon Redshift with a medallion architecture, and built and optimized Python ETLs on Kubernetes, using Polars where memory mattered.

Jul 2022 - Oct 2023

Cloud Data Engineer Data Consultancy

Designed data lake and warehouse solutions, led cloud migrations on GCP and AWS, and optimized enterprise data platforms.

2020 - Present

Backend & AI Applications Independent

Product work with Python and FastAPI: Antü, a personal-finance analysis app with document parsing and an AI assistant; MarketMaker, market-analysis dashboards; and FelzBooks, OCR and semantic search over 2,000-page scanned books, delivered end to end for a US client.

May 2022 - Jan 2024