Eduardo Macedo Email & Phone Number

Hi I’m Eduardo and I love working with data and helping to build great teams. I like to always be learning new technologies and designing systems architectures. I have 8+ years of practical experience in building highly available systems of extraction, ingestion, processing and serving large data sets. My very first data engineering challenge was to build a Data Lake using AWS, Spark and Hadoop. Since then, I have helped evolving it by creating and maintaining dozens of automated pipelines, implementing new features and adopting new technologies. Always focusing on cost optimization, performance, automation, security and providing the best interface to access and manipulate the data.I also have full understanding of how to transform raw data in relevant information to solve practical problems. I have created hundreds of features to machine learning algorithms, to support decision making and to help analysts to understand business scenarios.Today I coordinate and work together with my teams to improve Data Lakes with new tools and best practices, to guarantee data quality and to extract intelligence from the data. To accomplish this, I focus on developing hard and soft skills, training great people and helping them to work together.Qualifications- BS in Computer Science- Experience extracting intelligence from raw data- Advanced knowledge of how to build data architectures- Experience setting up infrastructure for data scientists and analysts- Experience working in a collaborative environment with engineers, user researchers, and product teams- Experience operating in a rapidly changing environment- Ability to learn and adapt to business changes- Ability to maintain poise and a positive attitude under pressure- Experience using OpenSource technologies like Spark, Hive, Presto, JupyterHub, Airflow, Metabase, Sqoop and ElasticSearch- Experience setting up fast and scalable APIs to serve large data sets- Experience with Machine Learning algorithms and how to build better features to potentialize them- Full knowledge of many AWS services like EMR, EC2, Kinesis, Glue, DynamoDB, RDS, Athena, Lake Formation, S3, Redshift, Lambda, Step Functions, IAM, API Gateway, Neptune, CloudFormation, Developer Tools, VPC- Advanced development experience with Python, SQL, NodeJS and Java