Aniceto Junior

Working with data in the advertising team. Experience with designing, building, delivery, and maintenance of accurate large scale data processing backends - Development of API’s to integrate with external vendors - Creation and maintenance of Spark scripts for large data processing - Experience in creating screens using Angular 2 - Creation and maintenance of workflows using Airflow - Experience in projects focused on privacy of customer information

Experience with processing large volumes of data (Big Data). - Leader of the Data Lake construction project using AWS solutions. - Design of a Data Lake going through the steps of data ingestion, storage, processing, cataloging and visualization. - Experience with AWS (IAM, Cognito, EC2, API Gateway, CloudWatch, SQS, SQN, Kinesis Data Streams, Kinesis Firehose, Elasticsearch Service, S3, Lambda, Glacier, Glue, Athena, RedShift, Redshift spectrum, EMR, QuickSight). - Use of relational (Postgresql) and non-relational (DynamoDB) databases. - Cost estimation for projects using AWS solutions. - Use of OpenAPI (OA3) to create the data consumption API for Data Lake. - Knowledge of cloud infrastructure provisioning tools via code such as: Terraform. - Creation of a cluster with 5 machines to support JupterHub on AWS (EMR). - For developing knowledge in Nodejs, Python and Java 8. - Version control of the generated code using Git, Git Flow and GitLab. - Communication and interpretation of problems with the business areas.

- Architect in the innovation sector, including the areas of systems development and data science. - Constant contact with the company's POs to survey the requirements to be developed. - Defining the architecture of systems that need a solution in real time and almost in real time using Java 8 and Nodejs on AWS (IAM, EC2, S3, API Gateway, AWS Lambda, CloudWatch, SQS, SQN, RDS). - Survey of requirements and implementation of SaaS systems using the Serverless Framework. - Definition in the construction of micro services and use of Docker and Kubernetes. - Use of Apache Kafka (topics, producers, consumers) and use of the AWS MSK solution. - Using BDD concept for software development in the team together with the Cucumber solution. - Architectural definition of systems using Python, Nodejs and Java 8. - Mapping / Documenting the company's systems using tools such as Draw.io and Cloudcraft. - Participation in the architectural definition of new products.