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lenaschwantes/README.md

Helena Schwantes

Data Engineer & AI Integration Specialist
Building production-grade data pipelines and LLM-powered applications

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🎯 About Me

Data Engineer specializing in scalable data infrastructure and LLM integration. I build high-performance pipelines, cloud architectures, and agentic AI workflows that solve real engineering problems at scale.

Track record: Optimized enterprise systems processing 100M+ records daily, reducing critical query times from 45min → 3min (94% improvement)

Currently exploring: Multi-agent LLM systems, RAG architectures, and production-ready FastAPI applications
Location: Florianópolis, Brazil 🇧🇷 | Open to remote opportunities worldwide

🛠️ Technical Skills

Languages & Frameworks

Python SQL FastAPI

Data Engineering

Cloud: AWS (S3, Glue, Lambda, Redshift) • Azure • GCP
Databases: Snowflake • PostgreSQL • MongoDB • MySQL
Big Data: Apache Spark • Kafka • Kafka Connect
Tools: Docker • Airflow • dbt

AI & LLMs

Frameworks: LangChain • CrewAI • OpenAI API
Techniques: RAG • Prompt Engineering • Multi-agent systems • Vector databases (FAISS, Pinecone, Weaviate)


📊 GitHub Stats

Helena's GitHub stats

Top Languages


🌍 Languages

🇧🇷 Portuguese — Native
🇺🇸 English — Fluent


📫 Let's Connect

Open to Data Engineer positions and collaborative projects in AI engineering and integration.


💡 Open to collaborating on data engineering and LLM integration projects

"Feito > Perfeito" — Execution over perfection

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