I design and build scalable data platforms using Python, Apache Beam, BigQuery, Dataflow, AWS Lambda, and modern cloud architecture patterns. I turn raw data into reliable, production-ready pipelines that power analytics, AI, and mission-critical business operations.
- Build end-to-end ETL/ELT pipelines on GCP & AWS.
- Develop high-performance APIs with Python (FastAPI, Flask, Django).
- Design serverless architectures using Lambda, SNS, and GCP Dataflow.
- Implement automation and orchestration using Terraform, Kubernetes, Helm, and CI/CD.
- Optimize data workflows for AI, NLP, and enterprise search initiatives.
Python (primary) • NodeJS • SQL • MongoDB • PostgreSQL • MySQL
AWS (Lambda, SNS, DynamoDB) • GCP (Dataflow, BigQuery, Bigtable, Cloud Storage)
FastAPI • Flask • Django • Apache Beam • Express
Terraform • Kubernetes • Helm • Docker • GitHub Actions • GitLab CI
ETL/ELT • Distributed Processing • Serverless • Data Modeling • Generative AI • Automation
- Built serverless APIs in AWS to automate multi-level business workflows.
- Developed pipelines for enterprise search, processing unstructured documents at scale.
- Migrated and optimized Python services, reducing latency and improving maintainability.
- Migrated on-prem data pipelines to BigQuery + Dataflow, improving performance by 60%.
- Maintained Kubernetes-based CI/CD for analytics workloads.
- Designed FastAPI services for data science automation and analytics distribution.
- Built serverless microservices using AWS Lambda and DynamoDB.
- Automated configuration management using Python, Jinja2, and Ansible.
- Developed Apache Beam connectors and real-time ingestion pipelines for GCP.
- Complete MongoDB Associate Developer certification.
- Deepen expertise in MLOps / AIOps.
- Advance toward a Data Architect career path.
- B.S. in Computer Science Engineering — ITS Puerto Vallarta
- MBA (In progress) — ITESO Mario Molina
📧 Email: raelcorrales@gmail.com
📍 Location: Puerto Vallarta, Jalisco, Mexico
“Data drives decisions. Well-designed systems drive impact.”