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Caio M.
Data Engineer
Caio is a versatile data professional with over five years of experience spanning Software and Data Engineering, Data Science, and Analytics.
Additionally, Caio assumed a pivotal role at Nubank, where he led a team of 200 professionals, steering the Data Governance and Cost Accountability initiative. This initiative substantially enhanced the transparency of project and task-related costs, benefiting all team members involved.
During his tenure at Accenture, Caio displayed exceptional dedication as he worked diligently on implementing GCP Data solutions within clients' infrastructure. This effort profoundly impacted, significantly streamlining the data collection process from various sources and reducing the time previously spent on manual data gathering.
Main expertise
- Python 6 years

- SQL 6 years

- ETL 5 years

Other skills
- OAuth2 4 years

- GraphQL 4 years

- PowerShell 3 years

Selected experience
Employment
Data Engineer
Proxify AB - 5 months
-
Working In Multiple Clients, providing Data Engineering & Analytics consultancy and development
-
Automating Web Page Navigation and Scraping using Playwright and BeautifulSoup
-
Providing Data Analytics and Data Modelling solutions with multiple frameworks
-
Implementing ETL jobs to integrate data from different sources into Data Warehouses or Data Lakes
Technologies:
- Technologies:
HTML
Azure Blob storage
TensorFlow
NumPy
OpenCV
XGBoost
Keras
Pandas
Open source
LaTeX
PyCharm
BigQuery
- CSV
OAuth2
- Command-line interface
Unix
VSCode
SciPy
Scikit-learn
- ELT
Matplotlib
- Data Analytics
Azure Synapse
- Recurrent neural network
PL/SQL
XML
- NLP
Machine Learning
BeautifulSoup
SQLAlchemy
Tableau
Plotly
- Dimensional modeling
- Fact Data Modeling
Redshift
dbt
- Prompt Engineering
LangChain
Looker
-
Data Engineer
Nubank - 3 years 5 months
- Reformed the Social Media data collection architecture, slashing compute time and costs by over 90%.
- Spearheaded a Data Governance and Cost Accountability initiative within a 200-person team, enhancing cost visibility related to projects and tasks.
Analytics Engineer
Nubank - 3 years 5 months
-
Spearheaded the reformulation of social media data collection architecture, achieving a remarkable reduction of computing time and costs by over 90%;
-
Integrated a new pipeline with the company’s data lake, enabling universal access to Social Media datasets and fostering collaboration;
-
Led a Data Governance and Cost Accountability initiative within a team of 200 members, enhancing transparency and providing visibility into costs associated with projects and tasks;
-
Delivering meaningful data and insights empowered the team to concentrate on content analytics and performance, facilitating informed decision-making and optimizing workflow efficiency.
Technologies:
- Technologies:
HTML
Scala
Azure Blob storage
- Data Science
Azure Data Factory
TensorFlow
NumPy
OpenCV
XGBoost
Keras
Pandas
ClojureScript
R (programming language)
Open source
LaTeX
PyTorch
PyCharm
BigQuery
- CSV
OAuth2
- Command-line interface
Unix
VSCode
SciPy
Scikit-learn
- ELT
Matplotlib
- Data Analytics
Azure Synapse
Random Forest
- PCA
Convolutional neural network
- Recurrent neural network
PL/SQL
XML
- NLP
Machine Learning
Cuda
BeautifulSoup
SQLAlchemy
Tableau
Clojure
Plotly
- Dimensional modeling
- Fact Data Modeling
Redshift
dbt
- Prompt Engineering
LangChain
Looker
Dataflow
-
Data Engineer
ClearSale - 1 year 2 months
- Assisted in scaling up a new Biometry product by defining performance metrics and monitoring application behavior.
- Identified data collection gaps, enabling real-time issue awareness within the team.
- Witnessed a tenfold increase in client adoption, with monthly incoming requests surging from a few thousand to millions.
Product Intelligence
ClearSale - 1 year 2 months
-
Played a key role in scaling up a new Biometry product by defining metrics for performance evaluation and monitoring the application’s behavior;
-
Identified gaps in data collection processes, enabling the team to address issues in near real-time and enhance overall data quality;
-
Collaborated with Product and Sales teams to reformulate the sales pitch, emphasizing improvements driven by data insights;
-
Successfully contributed to a tenfold increase in client adoption and a significant surge in monthly incoming requests, from a few thousands to millions, showcasing the product's enhanced value proposition.
Technologies:
- Technologies:
HTML
Oracle
Scala
Azure Blob storage
- Data Science
Azure Data Factory
TensorFlow
NumPy
OpenCV
XGBoost
Keras
Pandas
R (programming language)
Open source
LaTeX
PyCharm
BigQuery
- CSV
OAuth2
- Command-line interface
Unix
VSCode
SciPy
Scikit-learn
- ELT
Matplotlib
- Data Analytics
Azure Synapse
Random Forest
- PCA
Convolutional neural network
- Recurrent neural network
PL/SQL
XML
- NLP
Machine Learning
- Computer Vision
Cuda
BeautifulSoup
SQLAlchemy
Tableau
Plotly
- Dimensional modeling
- Fact Data Modeling
Redshift
Looker
Dataflow
-
Data Engineer
Accenture Brazil - 5 months
- Worked towards implementing GCP Data solutions on the clients' infrastructure;
- Developed a solution to gather data from 10+ data sources to create a Data Warehouse, saving time spent on manually collecting data from them;
- Helped reduce costs from third-party sources by 50% by using the raw data to develop our own Data Viz, canceling redundant Analytics contracts.
Data & AI
Accenture Brazil - 5 months
-
Contributed to the implementation of GCP Data solutions on clients’ infrastructure, enhancing data management capabilities and optimizing workflow efficiency;
-
Designed and implemented a solution to aggregate data from over 10 sources to establish a centralized Data Warehouse, significantly reducing manual data collection efforts and streamlining data processing workflows;
-
Played a key role in cost reduction initiatives by leveraging raw data to develop in-house Data Visualization tools, resulting in a 50% reduction in costs associated with third-party sources and the cancellation of redundant Analytics contracts.
Technologies:
- Technologies:
Oracle
Azure Blob storage
- Data Science
Azure Data Factory
TensorFlow
NumPy
OpenCV
Keras
Pandas
Open source
LaTeX
PyTorch
PyCharm
BigQuery
- CSV
OAuth2
- Command-line interface
Unix
VSCode
SciPy
Scikit-learn
- ELT
Matplotlib
- Data Analytics
Azure Synapse
Random Forest
- PCA
Convolutional neural network
PL/SQL
- NLP
Machine Learning
- Computer Vision
Cuda
BeautifulSoup
SQLAlchemy
Tableau
Plotly
- Dimensional modeling
- Fact Data Modeling
Redshift
Talend
Looker
Dataflow
-
Data Scientist
Netshoes Brazil - 11 months
-
Collaborated closely with the Marketing department to optimize the targeting of advertisements and mail campaigns to customers, enhancing their effectiveness;
-
Conceptualized and implemented a source of truth dataset for Customers’ data, leading to an increase in the frequency of model training and improving overall data quality;
-
Leveraged more up-to-date analysis to drive a daily increase of R$50k in gross income by refining the targeting of mailings and advertisements, thereby maximizing revenue generation efforts.
Technologies:
- Technologies:
Oracle
Azure Blob storage
- Data Science
Azure Data Factory
TensorFlow
NumPy
OpenCV
Keras
Pandas
R (programming language)
Open source
LaTeX
PyTorch
PyCharm
BigQuery
- CSV
OAuth2
- Command-line interface
Unix
SciPy
Scikit-learn
- ELT
Matplotlib
- Data Analytics
Azure Synapse
Random Forest
- PCA
Convolutional neural network
- Recurrent neural network
PL/SQL
Machine Learning
- Computer Vision
SQLAlchemy
Plotly
- Dimensional modeling
- Fact Data Modeling
Talend
-
Presales Architect
T-Systems Brazil - 2 months
-
Assisted in managing the team by providing insights to understand the team's performance, facilitating informed decision-making and strategic planning;
-
Developed visualizations to analyze and identify clients requiring more attention, enabling proactive engagement and relationship management;
-
Utilized gathered insights to optimize resource allocation and prioritize efforts towards proposals with higher success probabilities, resulting in improved efficiency and effectiveness in client interactions.
Technologies:
- Technologies:
NumPy
Pandas
R (programming language)
Open source
LaTeX
PyCharm
BigQuery
- CSV
Unix
SciPy
Scikit-learn
Matplotlib
- Data Analytics
PL/SQL
-
Education
BSc.Information Systems
USP - University of São Paulo · 2017 - 2020
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