Caio M.

Data Engineer

Caio är ett mångsidig dataproffs med mer än 5 års erfarenhet som täcker utveckling av programvara, data-engineering, data science och analys.

Caio spelade också en central roll vid Nubank där han ledde ett team med 200 experter och styrde initiativet Data Governance and Cost Accountability. Det här initiativet förbättrade avsevärt insynen i projekt- och uppgiftsrelaterade kostnader, vilket gynnade alla berörda teammedlemmar.

Under sin tid på Accenture visade Caio ett engagemang utöver det vanliga genom sitt hårda arbete på att implementera GCP-datalösningar i kundens infrastruktur. Hans arbete påverkade avsevärt effektiviseringen av processen för datainsamling från olika källor och minskade tiden som tidigare lades på att samla in data.

Huvudsaklig expertis

Python 6 år
SQL 6 år
ETL 5 år

Andra kompetenser

OAuth2 4 år
GraphQL 4 år
PowerShell 3 år

Caio M.

Brazil

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Anställningar

Data Engineer

Proxify AB - 5 månader
- 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
Teknologier:
- Teknologier:
- 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 år 5 månader
- Reformerade arkitekturen för datainsamling från sociala medier, vilket skar ner kostnaderna med mer än 90 %.
- Ledde initiativet Data Governance and Cost Accountability med ett team på 200 personer, vilket förbättrade kostnadstransparensen relaterad till projekt och uppgifter.
Analytics Engineer

Nubank - 3 år 5 månader
- 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.
Teknologier:
- Teknologier:
- 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 år 2 månader
- Hjälpte till att skala upp en ny biometriprodukt genom att definiera mätvärden för prestanda och övervaka applikationsbeteende.
- Identifierade luckor i datainsamlingen vilket gav teamet realtidsmedvetenhet.
- Han såg hur antalet nya kunder ökades tiofaldigt med en månatlig uppgång av inkommande förfrågningar från ett par tusen till flera miljoner.
Product Intelligence

ClearSale - 1 år 2 månader
- 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.
Teknologier:
- Teknologier:
- 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 månader
- Arbetade med att implementera GCP-datalösningar på kundens infrastruktur.
- Utvecklade en lösning för att samla in data från fler än 10 datakällor för att skapa ett data warehouse, vilket sparade tid i jämförelse med manuell datainsamling.
- Hjälpte till att minska kostnaderna som härrörde från tredjepartskällor med 50 %, genom att använda rådata för att utveckla vår egen Data Viz och säga upp överflödiga analysavtal.
Data & AI

Accenture Brazil - 5 månader
- 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.
Teknologier:
- Teknologier:
- 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 månader
- 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.
Teknologier:
- Teknologier:
- 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 månader
- 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.
Teknologier:
- Teknologier:
- NumPy
- Pandas
- R (programming language)
- Open source
- LaTeX
- PyCharm
- BigQuery
- CSV
- Unix
- SciPy
- Scikit-learn
- Matplotlib
- Data Analytics
- PL/SQL