Daniel Pineda
@danielpineda
I build cloud data pipelines and analytics products from raw data to accessible dashboards.
What I'm looking for
I built a daily ELT pipeline for Colombia's SECOP II public-procurement data, landing raw extracts in GCS and transforming them in BigQuery with dbt. I also built FastAPI and Next.js analytics layers, with pre-aggregated marts designed for fast dashboard queries and resilient rebuilds.
At APPU Store, I managed AWS data infrastructure using DynamoDB, S3, IAM, and ECS, and built Django backend services for a POS system used by 2,000+ active users. I containerized transactional services with Docker and bring a full-stack background to data engineering work.
I've also built and served an EfficientNet-B0 breast histology classifier with PyTorch, FastAPI, and Grad-CAM visualizations. I'm completing the DataTalksClub Data Engineering Zoomcamp and am focused on remote junior Data Engineer opportunities.
Experience
Work history, roles, and key accomplishments
Full Stack Developer
APPU
Jul 2025 - Jun 2026 (11 months)
• Built and maintained Django backend services for a POS system used by 2,000+ active users, containerized with Docker and deployed on ECS.
• Managed cloud infrastructure on AWS: DynamoDB for transactional persistence, S3 for storage, and IAM for access control.
• Designed and consumed RESTful APIs in Django to handle inventory, orders, and transactions across POS
terminals.
Education
Degrees, certifications, and relevant coursework
EIA University
Systems and Computing Engineer, Computer Science
2022 -
Grade: 4
Availability
Location
Authorized to work in
Portfolio
portfolio-eta-kohl-24.vercel.appSocial media
Job categories
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