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Bruno – Python, Tableau, AWS, experts in Lemon.io

Bruno

From Brazil (GMT-3)

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Data EngineerSenior
Hire developer
8 years of commercial experience
Fintech
Management
Retail
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Bruno – Python, Tableau, AWS

Bruno is an experienced Senior Data Engineer with over 6 years of expertise in creating ETL/ELT Data Pipelines. He is skilled in Python, SQL, and other data technologies. Bruno has an impressive record of leading the entire Big Data Team and has played a crucial role in raising the delivery standards. In addition to his technical skills, Bruno shares his insights on his YouTube channel. With Bruno's expertise, you can expect top-notch data engineering and team leadership.

Main technologies
Python
6 years
Tableau
2 years
AWS
6 years
Apache Spark
4.5 years
Additional skills
Apache Airflow
PostgreSQL
ClickHouse
Snowflake
Apollo GraphQL
Kafka
Jira
Liquibase
SQL
Scrapy
PySpark
GCP
Ruby
Trello
BigQuery
Ruby on Rails
Bitbucket
GitHub
Ready to start
To be verified
Direct hire
Not available

Experience Highlights

Big Data Manager
Jun 2021 - Ongoing3 years
Project Overview

It is an innovative startup specializing in pricing solutions tailored for brick-and-mortar retail. Their mission is to empower clients with comprehensive insights and data-driven strategies to swiftly navigate the competitive landscape of modern retail.

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Responsibilities:
  • Led and managed a team of data engineers in designing, developing, and maintaining big data solutions and pipelines;
  • Defined data requirements and developed scalable solutions to meet business needs;
  • Ensured data quality and governance across the organization;
  • Provided technical guidance and mentorship to enhance team skills;
  • Delivered valuable insights and analytics by collaborating with stakeholders;
  • Drove innovation and improved data management practices through emerging technologies and trends.
Project Tech stack:
AWS
Python
SQL
ClickHouse
Scrapy
Apache Spark
PySpark
Apache Airflow
Senior Data Engineer
Jan 2023 - Mar 20231 month
Project Overview

The platform to develop comprehensive employee wellness programs and manage fitness centers.

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Responsibilities:
  • Designed, developed, and maintained scalable and reliable data pipelines and ETL workflows;
  • Collaborated with cross-functional teams to understand data requirements and design appropriate data models;
  • Implemented data quality and governance measures to ensure accuracy and integrity;
  • Monitored and optimized data pipelines for performance and efficiency.
  • Troubleshot and resolved issues related to data processing and pipeline failures;
  • Collaborated with data scientists and analysts for effective data analysis and reporting;
  • Applied industry trends and best practices to improve data infrastructure and processes.
Project Tech stack:
Python
Apache Airflow
Snowflake
AWS
Liquibase
Jira
Data Engineer
Feb 2019 - May 20212 years 3 months
Project Overview

It is a startup company that specializes in pricing solutions for physical retail. They provide insights and data regarding their clients' major competitors and how to stay competitive in a fast-paced world.

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Responsibilities:
  • Designed, developed, and maintained data pipelines and ETL workflows;
  • Ensured data integrity, quality, and consistency throughout the data lifecycle;
  • Automated data processes and implemented best practices;
  • Supported data analysis and reporting efforts with clean and structured datasets;
  • Participated in code reviews and provided technical expertise and guidance.
Project Tech stack:
Python
Apache Airflow
AWS
Apache Spark
ClickHouse
PostgreSQL
SQL
Scrapy
PySpark
Data Engineer
May 2017 - Feb 20191 year 9 months
Project Overview

It is a startup company that provides personal loans to the C & D Brazillian economic classes.

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Responsibilities:
  • Built and maintained scalable data pipelines for ingestion and processing;
  • Collaborated with stakeholders to define data requirements and implement appropriate solutions;
  • Developed and optimized SQL queries and scripts for efficient data processing;
  • Built and maintained data visualization dashboards and reports using Tableau;
  • Identified and implemented process improvements and automation opportunities.
Project Tech stack:
Ruby on Rails
Ruby
GCP
AWS
Tableau
BigQuery
Trello
Bitbucket
GitHub

Education

2017
Database Administration
Technologist

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