Cristiano Fontana Email & Phone Number

Brasil

I work with Airflow, creating and maintaining this environment in Kubernetes.I develop and maintain ETLs using Python and DuckDB, running on a Kubernetes cluster, with storage in S3 and Redshift as the analytical database.I lead a team of data engineers in the architecture and implementation of a Data Lake, using SCD Type 2 for data versioning.I use Python, Kubernetes, S3, and Redshift as the analytical foundation to provide scalable and efficient solutions for processing large… Show more I work with Airflow, creating and maintaining this environment in Kubernetes.I develop and maintain ETLs using Python and DuckDB, running on a Kubernetes cluster, with storage in S3 and Redshift as the analytical database.I lead a team of data engineers in the architecture and implementation of a Data Lake, using SCD Type 2 for data versioning.I use Python, Kubernetes, S3, and Redshift as the analytical foundation to provide scalable and efficient solutions for processing large volumes of data. Show less

São Paulo, São Paulo, Brasil

Responsible for the Data Area of the company and management of data analysts and engineers.Structuring teams and processes to increase the company's data maturity level, focusing on the autonomy of business areas in the use of data for decision-making.Main challenges:Structuring the company's data team.Development of the strategic planning and roadmap for the Data area, aligned with the company's key strategic objectives.Building the analytical environment, using… Show more Responsible for the Data Area of the company and management of data analysts and engineers.Structuring teams and processes to increase the company's data maturity level, focusing on the autonomy of business areas in the use of data for decision-making.Main challenges:Structuring the company's data team.Development of the strategic planning and roadmap for the Data area, aligned with the company's key strategic objectives.Building the analytical environment, using AWS, S3, Lambda, Airflow, PowerBI, etc.Implementation of the website's Tracking Plan using Segment, Amplitude.Implementation of CRM (Hubspot). Show less

Curitiba, Paraná, Brasil

Leading a team of over 14 people over a period of 2 years, we were responsible for building a Data LakeHouse capable of processing over 70 million rows per day, working with near real-time data for product recommendations, anomaly analysis for alarms, computer vision, and more. We collaborated to meet valuable demands from various areas, including Marketing, Logistics, Customer Experience, Product, and Finance. Additionally, I played an active role in the company's data-driven culture… Show more Leading a team of over 14 people over a period of 2 years, we were responsible for building a Data LakeHouse capable of processing over 70 million rows per day, working with near real-time data for product recommendations, anomaly analysis for alarms, computer vision, and more. We collaborated to meet valuable demands from various areas, including Marketing, Logistics, Customer Experience, Product, and Finance. Additionally, I played an active role in the company's data-driven culture transformation process, making critical decisions to accelerate its growth, always leveraging data to the fullest extent possible. Show less

Architecture and development of the company's first Data Lake, built using a Python library for streaming application database binlog data, ingested into AWS Kinesis and S3 with Lambda/Python. ETLs are performed in AWS Glue to handle all data movement and metadata extraction into a visualization layer within the Data Lake, which is integrated and accessed by AWS EMR, RedShift, and Athena.The entire pipeline is built with microservices principles, agnostic data movement, CI/CD using… Show more Architecture and development of the company's first Data Lake, built using a Python library for streaming application database binlog data, ingested into AWS Kinesis and S3 with Lambda/Python. ETLs are performed in AWS Glue to handle all data movement and metadata extraction into a visualization layer within the Data Lake, which is integrated and accessed by AWS EMR, RedShift, and Athena.The entire pipeline is built with microservices principles, agnostic data movement, CI/CD using GitHub/AWS CodePipeline, and CloudFormation.Tools:AWS S3, CodePipeline, CloudFormation, Athena, Glue, EMR, Kinesis, RedShift, Elasticsearch, PHP/Python, Linux, Docker, GitHub, Airflow, Data Lake. Show less

Curitiba E Região, Brasil

AWS, ElastichSearch, PHP/Python, Linux, GitHub

Curitiba E Região, Brasil

Working with the following technologies: Google Cloud, Python, WebCrawler, Selenium, Pentaho Data Integration, MongoDB, Elasticsearch, SQL Server, MySQL, Grafana, Prometheus, Linux, NetData.

Curitiba E Região, Brasil

DBA - MSSQL

Suporte Tecnico

Especialização Em Big Data, Tecnologia Da Informação, Big Data, Hadoop, Cloudera

Big Data, MapReduce, Python,Cloudera, Pandas, Spark, Hbase. Soluções em Big Data

Analise E Desenvolvimento De Sistemas, Banco De Dados

Analise e desenvolvimento de aplicações, linguagens Java, e Android. Assim como modelagem e administração de banco de dados.