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Felipe
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Felipe

São Paulo, Brazil --:--:--

Felipe is an experienced, self-driven Data Engineer with over 8 years of experience working with data solutions, 5 years on cloud technologies, and 3 and a half years in cloud data engineering. His technical experience focused on building data platform aspects such as developing ELT pipelines using DBT, Databricks, Airflow, or Data Factory, providing platform improvements using Python such as implementing best practices, automated profiling reports, CI/CD deployment pipelines using GitHub Actions, and Azure DevOps. He is very strong in using both AWS and Azure to build cloud data solutions. He is always striving to architect and build solutions with quality, manageability and automation attributes using the best frameworks and tools available to the problem, while clearly communicating the proposed values of the solution and implementation.

 

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
DBT
Docker
Databricks
Python
Node
Angular
VBA Macros
SQL
SQL Server
OLAP
Snowflake
Azure
Block Chain
MySQL
Bootstrap
QlikSense
Data Warehouse
PHP
SQL DTS
Airflow
AWS
React
PowerBI
Oracle
WordPress
Excel VBA
Terraform
MDM
PostGIS
Pentaho
Github Actions
R
PostgreSQL
Data Factory
Developer Personality

Independent

Collaborative

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

CI/CD Data Pipeline

Data Modeling

Solution Architecture / Block Chain

Automation

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Agile - Scrum Master

Pharmaceutics

Fintech

B2C

MODERATE
EXTENSIVE
EXPERT
Portfolio

X-Team

Senior Data Engineer

Categories

Work Experience : 2021-Current
  • Working at BeachBody data and analytics team, he’s part of the Snowflake migration project where he implemented an automatic data quality validation process between the existing data sources (Hive, Redshift, and Oracle) and the newly built snowflake data models on the AWS cloud using Python, Airflow and ECS containers, gathering data quality KPI’s to monitor the migrated tables.
  • Implements an automated data profiling process using DBT, Python, and ECS Fargate generating hundreds of profiling reports about the tables available in the snowflake data warehouse.
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Libbs Pharmaceuticals

Senior Data Engineer

Categories

Work Experience : 2019-2021

Designed and implemented a new big data architecture at the Azure cloud using tools like ADLS Gen2 Data Lake, Data Factory, developing Databricks/Spark modules, extracting/integrating data from WebAPI’s such as SAP and SalesForce and pipelines with Python, Synapse and Power BI, rebuilding and migrating on-premises SQL Server data pipelines to deliver data products to the business areas.
Participated in the data governance initiative, working with the business stakeholders to conceive the initial data governance products such as the corporate data catalog, data quality indicators and monitoring, and defining data management processes, standards and responsibilities.

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Lunes

Chief Technology Officer

Categories

Work Experience : 2017-2019
  • Constant strategic alignment with the product and marketing teams to plan our roadmap and product releases.
  • Managed the technology team, composed of around 6 team members, and coached the adoption of the agile development process with the tech and product teams.
  • Designed and implemented the architecture and infrastructure to support digital products at the AWS Cloud (VPC, Lambda, Elastic Search, RDS) using Node.js Web APIs on the back-end and React on Front-end. Built and launched three digital products integrated with the blockchain tech, the ICO platform where the token occurred, a digital wallet (Lunes Wallet) with more than 10000 users, and Lunes Truth, a platform to sign and register contracts leveraging the blockchain technology, with more than 100 subscribers.
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MarketData

Senior BI/DBM Analyst

Work Experience : 2017

Worked at the UOL/Pagseguro client, modeling customer, campaigns, and relationship data from various channels to develop data models and pipelines using the SQL Server BI platform to deliver data products and analysis to the CRM team.

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UNESCO

Business Intelligence Consultant

Work Experience : 2016-2017
  • Allocated at the Municipal Secretary of Urban Development, built the architecture and implementation of a data-driven portal to inform the citizens about the main indicators covered by the São Paulo Strategic Plan, allowing granular analysis by geographic areas and the evolution over time of urban planning indicators.
  • The Project was built entirely with open-source technology like PostgreSQL/PostGIS database, Pentaho Data Integration for ETL processing, front-end angular/bootstrap, and back-end PHP/WordPress.
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Various Consultant Experiences

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Work Experience : 2011-2016
  • Business Intelligence Analyst – Close-up International (2015-2016)
  • Business Intelligence Consultant – Municipal Health Secretariat (2014-2015)
  • Systems Consultant – SantaCruz Wholesaler (2014)
  • Market Intelligence Analyst – SantaCruz Wholesaler (2013)
  • Business Intelligence Analyst – IMS Health (2011-2013)
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