Flávio Teixeira Email & Phone Number

State Of São Paulo, Brazil

Los Angeles, California, United States

Data Engineer Working on the Data Platform Team.Working as a contractor via X-Team

Working as a contractor for Riot Games.

Osasco, São Paulo, Brazil

Developed and maintained ETL pipelines, with quality and reliability, for ingesting data from various sources such as databases, APIs.Lead the development of a series of Python libraries with different purposes, ranging from `commons` libraries for code-reuse to more active ones responsible for being the official way of reading from and writing to the Data Lake itself.Lead the development of a multi-purpose platform based on the concepts of Data Mesh, which takes care of the data from its ingestion, also covering transformation and publishing. In addition to the data itself, it is responsible for all data lake observability and support, from orchestration to access management, quality and contracts, affecting 3k+ people on a daily-basis.Mentored other data engineers from juniors to seniors looking for technical improvements.Main technologies: Python, AWS Cloud (S3, EC2, EKS, Lambda), Docker, Kubernetes, Terraform, GitlabCI , Hadoop, Hive, PySpark, Airflow and Databricks.

Developed and maintained ETL pipelines, with quality and reliability, for ingesting data from various sources such as databases, queues and APIs. Also structured and maintained the company's Data Lake.Designed and developed data models and schemas in order to support business requirements, and to ensure data quality and consistency.Led the development of a dynamic marketing campaign tool, responsible for identifying the target customers based on any number of parameters over the whole website usage event base captured by the platform. It involved a number of different orchestration DAGs and processes, with a very modular code as well.Led the development of a telemetry and quality stack built over ElasticSearch and Kibana, that held the real-time follow-up of the Data Lake and ingestions flow health and status.Main technologies: Python, AWS Cloud (S3, Lambda, EMR, Athena), Terraform, Hadoop, Hive, PySpark, Airflow, ElasticSearch and Kibana.

São Paulo Area, Brazil

Built and maintained ETL pipelines for ingesting data from various sources such as databases and APIs. Alsostructured and maintained the company's Data Lake.Designed and developed data models and schemas in order to support business requirements, and to ensuredata quality and consistency.Worked with business stakeholders to gather and define requirements for new data products and features.Led the development of the monitoring and telemetry for Big Data area structure, using Python, Elasticsearchand Kibana along other AWS managed services.Main technologies: Python, AWS Cloud (S3, Lambda, Glue, Athena), Hadoop, Hive, PySpark, ElasticSearchand Kibana.

Built and managed data lakes and systems that collect and process large scale data (Big Data Ecosystem),while working with DevOps and Cloud Computing components.Worked on projects for different companies: CVC, Ciclic, Dotz and MaxMilhas.Main technologies: Java, Spark, Hadoop, Docker