Kleber Alves
Verified Expert in Engineering
Data Engineer and Developer
Santo André - State of São Paulo, Brazil
Toptal member since January 12, 2024
Kleber has eight years of experience as a Python programmer, working on data projects in different industries such as banking, finance, eCommerce, marketing, contact centers, and logistics. He has extensive experience in Spark, SQL, Git, ETL pipelines, dashboards, data analysis, analytics, ML models, and cloud environments. In addition, Kleber is well-versed in Snowflake, Databricks, data lakes, relational and non-relational databases, and data modeling.
Portfolio
Experience
- Apache Spark - 8 years
- Python - 8 years
- SQL - 7 years
- Git - 7 years
- Big Data - 7 years
- Azure - 4 years
- Databricks - 4 years
- Snowflake - 2 years
Availability
Preferred Environment
Python, SQL, Databricks
The most amazing...
...project I've been involved in is the construction of an efficient data lake for a digital bank using Python.
Work Experience
Data Engineer
BlueShift
- Executed impactful projects across diverse client sectors, including eCommerce, finance, agribusiness, and fuel distribution, and delivered tailored solutions for varied industry challenges.
- Optimized eCommerce marketing by integrating Facebook APIs to automate 20+ diverse marketing audiences and consolidate customer, sales, and product data from physical stores and the website.
- Developed an ETL workflow for fuel distribution, predicting sales and revenue. I compared four forecast models with actual revenue, feeding a dynamic forecasting dashboard.
Data Engineer
Banco Original
- Designed and constructed a comprehensive data lake catering to the entire company's data needs.
- Focused on banking marketing strategies, analyzing and exploring customer and account data, and generating targeted audiences for email, SMS, and push campaigns.
- Built Python and Spark codes and scripts to orchestrate ETL flows, seamlessly managing development processes and ensuring smooth delivery to transactional systems, APIs, and dashboards.
Data Scientist
Atento Brasil
- Led projects involving data structuring, statistical analyses, and ML models for retail debtors. I also implemented web scraping techniques to extract consumer complaints data from web pages.
- Conducted Python programming and performed exploratory data analyses, identifying operational patterns and preparing data for statistical analysis and ML models.
- Leveraged Seaborn and Matplotlib to present data and results.
- Developed robust data pipelines and ETL processes in Python, working within the Azure environment and the Agile methodology.
Data Scientist
ML Servios Financeiros
- Delivered an end-to-end data science project, performed data engineering from relational databases, conducted statistical analyses, and developed machine learning models for debtors in the financial and banking sectors.
- Created APIs for dynamic model result queries and a web portal to control and showcase machine learning outcomes.
- Performed Python programming for data exploration, ETL flows, data preparation, statistical and data analyses, and ML model development.
Data Analyst
Santander Brasil
- Automated tasks and developed Visual Basic for Applications (VBA) and SQL systems for streamlined operations.
- Created systems for the bank's back-office operations, mainly focusing on frozen accounts and balances due to court orders.
- Led the delivery of automated daily reports and dashboards for bank operations, significantly enhancing operational efficiency, reducing response time, and minimizing process error rates.
Mechanical Technician
Mercedes-Benz do Brasil
- Performed tasks related to materials engineering, prototypes, quality, and production.
- Handled the assembly of light, medium, and heavy-duty trucks and buses for domestic production and export.
- Conducted testing of automotive parts, including chassis, axles, and engines, analyzing raw materials and evaluating weld points and seams.
Experience
Mapping Urban Safety with Public Databases
Education
Master of Business Administration (MBA) in Big Data and Data Science
Faculdade de Informática e Administração Paulista (FIAP) - São Paulo, Brazil
Master of Business Administration (MBA) in Project Management
Fundação Getulio Vargas (FGV) - São Caetano do Sul, Brazil
Bachelor's Degree in Materials Engineering
Centro Universitário Fundação Santo André (CUFSA) - Santo André, Brazil
Certifications
Astronomer Certification for Apache Airflow Fundamentals
Astronomer
Skills
Libraries/APIs
Pandas, Beautiful Soup, PySpark, Polymer, Scikit-learn, Matplotlib, REST APIs
Tools
Microsoft Excel, Git, Spark SQL, Excel 2013, Microsoft Access, Apache NiFi, Cloudera, Microsoft Power BI, Tableau, Apache Airflow, Seaborn
Languages
Python, SQL, Visual Basic for Applications (VBA), Excel VBA, Snowflake, R
Paradigms
ETL, Automation, Agile Project Management, Scrum
Platforms
Databricks, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)
Storage
Data Lakes, Databases, SQL Server 2016, MySQL, Apache Hive, NoSQL
Frameworks
Apache Spark, Selenium, Delta Live Tables (DLT), Metal, Hadoop, Django, Spark
Other
Data Analysis, Scope Management, Big Data, Data Warehousing, Data Engineering, Excel 365, Data Analytics, Unstructured Data Analysis, Mathematics, Data Architecture, ELT, Azure Data Factory (ADF), APIs, Mechanics, Machining, Calculus, Industrial Automation, Electric, Prototyping, Technical Drawing, Algebra, Metallurgy, Physics, Chemistry, Materials Science, Composite Materials, Materials Testing, Materials Failure Analysis, Metal Processing, Metals & Mining, IT Project Management, Projects, PMI, Budget Management, Feasibility Studies, Valuation, Data Science, Machine Learning, Production, Google BigQuery, Data
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