Bruno Fernandes Email and Phone Number
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I'm specialize in managing and maintaining data pipelines, with a focus on infrastructure and DevOps. I am currently improving my skills in Kubernetes, Helm, Amazon EKS and Kubectl, which complements my knowledge of infrastructure technologies.I have extensive experience in configuring and administering production environments with Apache Airflow and in building and evolving Data Lakes on AWS, using services such as S3, Glue, Redshift, RDS, Athena, EMR, EBS and MQ. My skills include creating Data Lakes integrations with external APIs, such as Zendesk and HubSpot.I am proficient in Python, SQL and Node.js, and familiar with frameworks and libraries such as Django, SQLAlchemy, Pandas and NumPy. My experience spans multiple databases, including DBeaver, SQL Server, MySQL, PostgreSQL, and Redshift (AWS). In DevOps, I am proficient in Git/GitHub and Docker.In the cloud, I have solid experience with Amazon Web Services (AWS), including EC2, Redshift, S3, Glue, Athena and Lambda. I'm also comfortable with Business Intelligence tools such as Looker, Metabase, Qlik, HubSpot and Power BI.I adopt agile methodologies, such as Kanban and Scrum, and use Jira for project management. Additionally, I maintain a profile on GitHub where I share relevant projects I've developed. Feel free to explore at: https://www.linkedin.com/in/fernandespyMy goal is to contribute to the construction and optimization of the company's data environment, collaborating with the team to achieve impactful results
Keyrus
View- Website:
- keyrus.com
- Employees:
- 2235
-
Data EngineerKeyrus Oct 2024 - PresentRemotoI work as a Data Engineer, responsible for developing and maintaining a robust data analytics infrastructure, providing solutions that enable real-time analysis of large, complex datasets. My main responsibilities include building and supporting real-time data pipelines using technologies like AWS, Python, Spark, and Databricks. I have hands-on experience in SQL for query writing, optimization, and debugging complex logic. I collaborate with data scientists and other technical teams to implement advanced machine learning algorithms and predictive analytics, leveraging data to identify trends, anomalies, and generate actionable insights. Additionally, I am responsible for continuously improving process automation, performance efficiency, and simplifying data as a service, while ensuring the creation of intelligent and efficient reports. -
Data EngineerBlu Dec 2023 - Sep 2024Rio De Janeiro, Brasil- Responsible for maintaining and developing data ingestion processes in the datalake.- Development and maintenance of process orchestration using Airflow.- Development of processes using pyspark and delta in EMR.- Maintenance and development of batch and streaming loads.- Development of data pipeline with data quality and observability processes.- Control and monitoring of process executions in Redshift.- Assist the team of data analysts in applying good modeling practices to reduce costs and improve process performance.- Continuous analysis to reduce costs in processes. -
Data Engineer InternBlu Apr 2023 - Dec 2023Rio De Janeiro, BrasilDevelopment and Management of Data Pipelines:I designed, managed and supported robust data pipelines, optimized to meet the specific needs of teams of Data Scientists and BI Analysts.Apache Airflow Specialization:Configured and maintained productive environments with Apache Airflow, ensuring efficiency and stability in daily operations.Data Lake Architecture and Optimization on AWS:Assistance in the construction and continuous evolution of our Data Lake, using AWS services such as S3, Glue, Redshift and RDS to maximize data storage, processing and retrieval.External Integrations Focused on Data Expansion:Designed and implemented Data Lake integrations with external APIs, including Zendesk and Hubspot, to expand our data collection and analysis capabilities, improving insights and decision making -
Products InternBlu Nov 2022 - Apr 2023BrasilStrategic collaboration with Product Owners in cross-functional product teams.Performing detailed data analysis to drive informed decisions.Active participation in the improvement and efficiency of processes in the Product area.Engagement in optimization and strict control of processes to ensure operational excellence. -
Business Intelligence InternGurumê Restaurante Jun 2022 - Oct 2022Rio De Janeiro, BrasilAdvanced Data Analysis with Python:I used key libraries such as Pandas, Numpy and Matplotlib to manipulate, visualize and interpret large data sets, enabling more informed and effective decision making.Gurumê KPIs:I was responsible for the calculation and in-depth analysis of Gurumê's main performance indicators, identifying opportunities for improvement and prominent areas to boost business performance.Analysis of Growth Projections:I actively collaborated in the evaluation of growth projections, with a special focus on off-base and SSS views, ensuring a realistic and well-founded perspective for future planning.Sales Mix Insights:Conducted detailed sales mix analysis, understanding trends, identifying leading products and areas of opportunity to optimize sales strategy.Product CMV Assessment:Performed a critical analysis of the Cost of Goods Sold (COGS), ensuring profitability and identifying potential adjustments to the pricing strategy or supply chain.Creation of BI Dashboards:I offered specialized support in creating and optimizing dashboards in Gurumê's Business Intelligence (BI), transforming raw data into interactive visualizations and actionable insights.Multidisciplinary Analytical Support:Provided data-based insights and strategic recommendations to the Marketing and Management areas, assisting in decision-making and aligning business goals.
Bruno Fernandes Skills
Bruno Fernandes Education Details
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Data Science And Technological Behavior Analysis
Frequently Asked Questions about Bruno Fernandes
What company does Bruno Fernandes work for?
Bruno Fernandes works for Keyrus
What is Bruno Fernandes's role at the current company?
Bruno Fernandes's current role is Data Engineer | Databricks | Spark | Python | AWS | SQL | ETL.
What is Bruno Fernandes's email address?
Bruno Fernandes's email address is br****@****.com.br
What schools did Bruno Fernandes attend?
Bruno Fernandes attended Unicesumar.
What skills is Bruno Fernandes known for?
Bruno Fernandes has skills like Pandas, Aws Glue, Git, Amazon Web Services, Etl, Django, Node.js, Mongodb, Banco De Dados, Data Analysis, Airflow, Adobe Photoshop.
Who are Bruno Fernandes's colleagues?
Bruno Fernandes's colleagues are Nathalie Deville, Imed Zenned, Reine Ndayisaba, Mariana Varela, Corinne Bensoussan, Rudy Maire, Martin Tyrone.
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