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Cleber M.
Data Engineer
Cleber is an experienced and versatile Data Engineer with over six years of expertise in the data field. He demonstrates proficiency in various technologies and is committed to continuous learning and exploring new technologies to stay ahead of the curve.
Cleber excels in designing, implementing, and deploying reliable data products. He has a strong ability to collaborate with stakeholders to define business requirements and ensure effective data ingestion from external sources.
Additionally, he thrives in agile environments, promoting data-driven quality and quick iterations. Cleber is dedicated to staying updated with the latest technologies and trends in the field, showcasing his commitment to continuous learning and professional growth.
Main expertise
- BigQuery 2 years
- Data Engineering 5 years
- ETL 4 years
Other skills
- Docker 4 years
- MySQL 3 years
- Machine Learning 2 years
Selected experience
Employment
Data Engineer
FreshBooks - 2 years 3 months
- Implemented a reliable and centralized single source of truth for users' and customers' data, ensuring daily refreshes and storage of historical changes.
- Took charge of planning and building Python API integrations to ingest external data sources that were not supported by Fivetran. Implemented DBT transformation layers and conducted data quality testing to ensure the accuracy and reliability of the integrated data;
- Transferred resource-intensive data transformations from Looker to dbt, resulting in optimized processes and reduced costs.
Technologies:
- Technologies:
BigQuery
ETL
Python
Apache Airflow
Git
Docker
Google Cloud
- Data Modeling
dbt
- NoSQL
Terraform
Data Engineer
Pmweb / Oto CRM - 8 months
- Took charge of refactoring a critical legacy pipeline, significantly improving its performance and scalability.
- Designed and implemented a Python command line interface to streamline the data engineering team's preparation of new Oto CRM client infrastructures.
- Strategized and executed the development of a Python API integration to ingest external data sources and enrich them with internal data from various sources.
- Demonstrated strong skills in data warehousing, data quality, Git, data modeling, data ingestion, Apache Airflow, communication, problem-solving, data pipelines, NoSQL, ETL (Extract, Transform, Load), data governance, Python programming language, SQL, big data, team leadership, machine learning, and agile methodologies.
Technologies:
- Technologies:
-
BigQuery
- Data Engineering
-
Python
SQL
-
Apache Airflow
-
Git
MySQL
Machine Learning
Agile
- Data Modeling
- NoSQL
Business Intelligence Specialist
Pmweb / Oto CRM - 2 years 5 months
- Developed a customer identifier engine capable of identifying and assigning internal user identifiers to behavioral website, CRM, and omnichannel transactional data.
- Restructured the RFM Ledger, a critical data pipeline that generates historical Recency, Frequency, and Monetary Value groupings for each customer based on custom rules.
- Refactored MySQL queries and built new ones in ClickHouse to align with specific business requirements.
- Created a Python reporting automation tool that automated data extraction from analytical tools and generated ready-to-use reporting files.
- Demonstrated expertise in data warehousing, Git, data modeling, data ingestion, Apache Airflow, communication, problem-solving, data pipelines, NoSQL, ETL (Extract, Transform, Load), Python programming language, SQL, big data, machine learning, data analysis, and agile methodologies.
Technologies:
- Technologies:
-
BigQuery
- Data Engineering
-
ETL
-
Python
-
SQL
-
Apache Airflow
-
Git
-
Machine Learning
-
Agile
- Data Modeling
- NoSQL
Data Analyst - Conversion Rate Optimization
Pmweb, a Wunderman company - 1 year 1 month
- Conducted A/B testing experiments, designing and analyzing experiments for clients with diverse key business requirements;
- Utilized various tools such as Maxymiser, Google Optimize, Adobe Target, Hotjar heatmaps, Google Analytics, and Adobe Analytics to facilitate A/B testing processes;
- Designed experiment frameworks, including hypothesis formulation, test group definition, sample size determination, and measurement metrics selection;
- Collected and analyzed experiment data, applying statistical techniques to derive insights and make data-driven recommendations;
- Demonstrated strong skills in communication, problem-solving, data analytics, Python programming language, SQL, Machine Learning, Data analysis, and Agile methodologies.
Technologies:
- Technologies:
-
Python
-
SQL
-
Machine Learning
-
Agile
- Data Modeling
Education
MSc.MBA - Data Engineering
FIAP · 2021 - 2022
MSc.MBA Business Analytics
Federal University of Rio Grande do Sul · 2018 - 2019
Standalone courseNanoDegree - Data Analytics
Udacity · 2017 - 2018
Standalone courseNanoDegree - Predictive Analytics for Business
Udacity · 2017 - 2018
BSc.Advertising and Marketing
Unisinos · 2013 - 2017
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