Santiago Carignano

Led a team delivering high-quality data products on Google Cloud Platform (GCP) and AWS. Improved data architecture to ensure scalability, performance, and security. Oversaw deployment and integration of data pipelines and cloud-based workflows. Managed end-to-end delivery of Data Ops projects, aligning engineering work with business objectives.

Led the technological development of a data-driven software product for the agricultural industry. Defined and executed the technical strategy to scale the product and prepare the company for growth and investment. Designed and implemented scalable data platform architecture integrating AWS cloud services, big data pipelines, and automation tools. Built and led a high-performing engineering team while ensuring security, quality, and scalability across the product. Designed and deployed AI-driven data solutions across industries (aviation, SEO, education). Automated workflows with Langchain, OpenAI APIs, and FastAPI, streamlining data processing and decision-making. Managed end-to-end infrastructure on AWS with Terraform.

Modeled ETL architectures on GCP, processing raw data into actionable insights. Built Apache Beam pipelines in Dataflow, transforming data from Cloud Storage into BigQuery. Automated workflows with Cloud Composer (Airflow) for scheduled data transformations and orchestration. Developed and deployed REST APIs (FastAPI & NodeJS) on Cloud Run with Docker.