Allan Pineda

Allan Pineda's work experience begins in 2008 as a Support Analyst at D-Link and Itaú Unibanco. Allan then gained experience as a Trainee in the field of IT at Porto Seguro. Allan continued working at Porto Seguro as a Business Intelligence Analyst and later as a Big Data/B.I. Architect, where they developed, maintained, and validated data integration flows, constructed ETL processes for data acquisition and preparation, and identified opportunities for improvement.

After their time at Porto Seguro, Allan worked as a Data Engineer at Creditas, where they developed and validated data integration flows, developed web crawlers for data acquisition, and constructed ETL/ELT processes. Allan then worked as a Big Data Engineer at Nextel Brasil, where they developed batch and streaming data pipelines and integrated machine learning solutions into the production pipeline.

Allan's most recent position was at Magazine Luiza, where they served as a Lead Data Engineer and later as a Data Engineer. In these roles, they created a scalable data platform, developed solutions to automate data ingestion and data processing, and ensured data security within the platform.

Currently, Allan is working as a Staff Data Engineer at CircleUp, where they are involved in building data-intensive applications, developing python projects for web scraping and API integration, and creating micro-batch and event-driven apps to integrate data in real-time.

Allan Pineda's education history includes a Master of Business Administration (MBA) - Big Data (Data Science) from FIAP, which they obtained from 2014 to 2015. The field of study for this degree included Gestão empresarial, Arquitetura de Big Data, Ciência dos dados.

Additionally, Allan Pineda completed a Tecnologo em Banco de Dados degree from IBTA- Instituto Brasileiro de Tecnologia Avançada. Allan attended this school from 2007 to 2010, with a focus on Tecnologia da Informação.

In terms of certifications, Allan Pineda has obtained several. These include Developer Training for Spark and Hadoop from Cloudera in April 2016, Architecting on AWS from Amazon Web Services in March 2016, Cloudera Administrator Training for Apache Hadoop from Cloudera in March 2016, Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop from Cloudera in March 2016, Big Data on AWS from Amazon Web Services in January 2016, and an edX Honor Code Certificate for Introduction to Big Data with Apache Spark from edX in July 2015.