
Data Developer
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Assessing your cultural and operational fit
DB1 Group
Data Scientist
June 27, 2026 – Present
db1-airflow-dbt-workshop
October 24, 2024 – October 31, 2024
db1-airflow-dbt-workshop — GitHub repository
View Projectdata-streaming-strimzi-kafka-ingestion
August 20, 2024 – August 30, 2024
Passo a passo para construção de uma pipeline de ingestão de dados do Postgres no S3 utilizando Kafka, Kafka Connect e Ksql. Esse documento é um tutorial e não possui explicação sobre os conceitos abordados.
View Projectastro-sdk-airflow-dbt-orchestrate
August 4, 2024 – August 4, 2024
Aplicação em container do Airflow versão Astro Python SDK, utilizando o dbt como ferramenta ETL, exemplo de pipeline de dados inclusa, com extração via S3, criação de tabela no Snowflake, mais processo ETL.
View Projectdatabricks-airflow-dbt-pipeline
June 27, 2024 – August 12, 2024
Using a simple Apache airflow image on docker with this repository, create an environment for Databricks with orchestration and ETL.
View Projectairflow-dag-trigger-types
June 26, 2024 – June 26, 2024
Testes e exemplos com alguns tipos de dags e triggers no Airflow.
View Projecttranslate-deepl-alternative
February 29, 2024 – February 29, 2024
Tradutor de texto gratuito aplicado a dataframes ou data-science, alternativas para Azure AI Translator ou Google Translator entre outros.
View Projectemotion-and-sentiment-analysis-data
February 19, 2024 – August 4, 2024
Análise de emoção e sentimento em texto, funções aplicadas a um dataframe pandas, API do Azure AI Translator, TextAnalysis (Sentimento) e da IBM Watson (Emoção).
View Projectnosql-collect-to-dataframe
June 16, 2023 – August 30, 2024
Examples of consuming collection of NoSQL db's as mongo, firestore and converting to dataframe.
View Projectml-facial-recognition
May 28, 2023 – May 28, 2023
ML Project, using different algorithms to test performance.
View Projectopenxbi-app
March 4, 2023 – May 18, 2025
Visuals in HTML and CSS with DAX application for PowerBI and compatible tools.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and engineering. The current role as a Data Scientist at DB1 Group aligns with the target role. However, the experience level is listed as 0, which contradicts the current employment, suggesting a potential data discrepancy or very recent entry into the role. The diversity of projects indicates a proactive learning attitude, but the lack of team-based or production-grade project descriptions makes it difficult to fully assess cultural fit in a collaborative enterprise environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.