Diego Sánchez Portella

Data Engineer

OpenLoop Perú•  September 2024 - September 2025•  Surquillo, Lima, Perú

Designed and deployed data models to support data warehousing in the telemedicine industry, delivering dimensional models for billing, customer retention, provider availability, and clinical operations, using AWS Athena and GitHub. Built a dimensional model for the Patient Journey, enabling the identification of patient stages, validation of workflow compliance, detection of drop-off reasons, and configuration of alerts for delays or potential errors, leveraging Zoho Analytics and SQL. Developed streaming ETLs with webhooks and AWS EventBridge to orchestrate real-time event delivery across multiple production platforms. Engineered batch ETL pipelines by integrating platform APIs with AWS Lambda and Step Functions, ensuring efficient and reliable ingestion of cross-platform data.

Solutions Architect – Industry 4.0

Vertix Technologies S.A.C.•  October 2023 - September 2024

Designed and deployed industrial data architectures aligned with Purdue, ISA-95, Unified Namespace (UNS), and the AWS Well-Architected Framework, ensuring scalability, interoperability, and adherence to industry standards. Implemented and optimized streaming and batch data pipelines for manufacturing industries, leveraging AWS (SiteWise, Glue, Redshift, CloudFormation) and Azure (Event Grid, IoT Hub, Synapse Analytics, SQL Server) to enable real-time and historical analytics. Designed and deployed a cloud-based architecture for AI-driven early anomaly detection in industrial plants, integrating SaaS solutions licensed by Vertix on both Azure and AWS, enhancing operational reliability and predictive maintenance capabilities.

Data Scientist

Vertix Technologies S.A.C.•  February 2021 - October 2023

Designed and implemented predictive and prescriptive models in Python (Notebooks) for the cement, oil, and mining industries, enabling quality estimation, anomaly detection, and production optimization while reducing operational costs. Developed and deployed dashboards for effective data management using SaaS tools such as Seeq, Canary Labs, and Power BI, configured with automatic updates and streaming capabilities tailored to operational needs. Collaborated with international software suppliers from the USA and Europe, providing technical support for analytics developments to ensure system reliability, performance, and continuous improvement.

FullStack Developer Freelance

Freelance•  April 2019 - February 2021

Designed and delivered an MVP for remote monitoring of ELISE equipment, enabling real-time data transmission and processing in AWS from client devices. Built and implemented a DataMart for Entel’s O&M Control department, automating reporting processes that reduced data preparation time from 15 days to near real-time. Developed specialized algorithms to cleanse and standardize maintenance KPIs, unlocking performance insights that were previously unattainable for O&M management. Created an MVP web application to capture and visualize near real-time energy data, providing new operational KPIs that improved decision-making. Deployed IIoT sensors across more than five cellular stations to measure energy consumption and deliver near real-time dashboards through an on-premise solution.