Edwin Copacondori is a Senior Big Data Engineer based in Lima with eight years building scalable data platforms, ETL pipelines and AI/ML pilots across AWS and GCP. He designs and automates ingestion frameworks (Spark, NiFi, Glue) into DataLakes, implements IaC-driven deployments (Terraform/CloudFormation) and delivers business-facing PowerBI dashboards. His work spans data quality, phonetic/fuzzy matching and NLP for deduplication and homologation, and he has productionized ML models using SageMaker and SparkML. Edwin combines deep systems experience—Java, Scala, Python, Spark—with hands-on DevOps and serverless patterns (Lambda, Step Functions, Airflow) to move proofs-of-concept into resilient pipelines. An unconventional strength is his background in both economics and systems engineering plus MIT coursework in Big Data, enabling him to translate complex technical solutions into measurable business impact.
8 years of coding experience
4 years of employment as a software developer
Maestria en Gestión de Tecnologías de Información, Maestria en Gestión de Tecnologías de Información at Universidad Nacional Mayor de San Marcos
Pontificia Universidad Católica del Perú
Ingeniería de Sistemas, Ingeniería de Sistemas at Universidad Peruana Unión
Big Data and Social Physics, Big Data and Social Physics at Massachusetts Institute of Technology
Economía, Economía at Universidad Nacional Federico Villarreal
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