Lucas Almeida

Data Scientist

https://talent.gravityer.com/lucas-almeida

data engineering

São Paulo, SPMember since June 28, 2026

Key Strengths

Demonstrated experience with data engineering tools like Apache Airflow, Kafka, Spark, and Cassandra, which are highly relevant for data science pipelines.
Projects involving real-time data streaming and processing indicate a strong foundation in data infrastructure.
Experience with Python for data manipulation, AI predictions, and web development.
Exposure to cloud concepts (S3) and database technologies (MongoDB, Cassandra, Hive).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong initiative and self-driven learning, exploring diverse areas from data engineering to web development and AI predictions. This indicates a proactive and curious mindset, which can be a good cultural fit for dynamic environments. The breadth of technologies explored suggests adaptability and a willingness to tackle new challenges.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive approach to learning and applying various technologies.

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Projects

Discovery_B3-7COMm

June 16, 2025 – Present

Discovery_B3-7COMm — GitHub repository

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ga-engenharia-site

December 1, 2024 – Present

ga-engenharia-site — GitHub repository

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projeto_scraping_chaves_na_mao

September 10, 2024 – September 12, 2024

projeto_scraping_chaves_na_mao — GitHub repository

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projeto_scraping

September 2, 2024 – September 7, 2024

projeto_scraping — GitHub repository

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real_time_data_streaming

August 10, 2024 – August 10, 2024

Este projeto é uma solução de engenharia de dados completa que integra Apache Airflow, Apache Kafka, Apache Spark, e Cassandra para processamento e análise de streams de dados em tempo real. Utiliza Docker para gerenciamento dos componentes.

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Agricultural-Raw-Material-prices

June 20, 2024 – June 20, 2024

Agricultural-Raw-Material-prices — GitHub repository

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organizar_cid_por_est

June 5, 2024 – July 2, 2024

Projeto de engenharia de dados para organizar municipios por estados em CSV, enviar ao S3 em JSON e exportar ao MongoDB

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airflow_forex_rates

April 19, 2024 – April 19, 2024

Airflow project with the objective of processing forex data, divided into 8 phases, using Operators such as "HtppSensor", FileSensor", "PythonOperator", "BashOperator", "HiveOperator", "SparkSubmitOperator", "EmailOperator" and "SlackWebhookOperator". In our DAG we interact with HDFS, Hive and Spark.

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python-webiste

March 12, 2024 – March 12, 2024

chat website created with python using flet framework

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python-AI-predictions

March 12, 2024 – March 19, 2024

python project of AI, analyzing customer score from a bank, with the goal of identifying whether a new customer will have a good or bad score.

View Project

Key Strengths

Demonstrated experience with data engineering tools like Apache Airflow, Kafka, Spark, and Cassandra, which are highly relevant for data science pipelines.
Projects involving real-time data streaming and processing indicate a strong foundation in data infrastructure.
Experience with Python for data manipulation, AI predictions, and web development.
Exposure to cloud concepts (S3) and database technologies (MongoDB, Cassandra, Hive).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive approach to learning and applying various technologies.

Lucas Almeida

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit