Bryan Lederhos
Sr Data Engineer
Porto Alegre, Rio Grande Do Sul
Summary
Data Engineer with specializing in designing scalable data models, building efficient data pipelines, and delivering actionable insights to drive business decisions. Proven expertise in ETL processes, data integration, and advanced analytics, with a strong focus on machine learning workflows and big data technologies. Passionate about transforming raw data into value-driven solutions and mentoring teams to achieve excellence in data engineering practices.
Overview
5
5
years of professional experience
2
2
Languages
Work History
Data Engineer Senior Advisor
Dell Technologies
01.2024 - Current
- Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
- Design and optimize scalable data pipelines to collect, clean, and prepare large-scale data for analysis and machine learning models.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights for model development and business decisions.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Develop entity resolution models using advanced techniques like Latent Semantic Hashing, Bayesian Statistics, and Gibbs Sampling.
- Collaborate with cross-functional teams (IT, ML Engineers, Data Scientists) to align data solutions with organizational goals and deliver actionable insights
- Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
Data Engineer Advisor
Dell Technologies
08.2021 - 01.2024
- Developed and maintained ETL processes to integrate data from multiple sources into data warehouses and data lakes.
- Designed and managed scalable database systems for efficient data storage and retrieval.
- Optimized data models to support reporting, analytics, and business intelligence applications.
- Enhanced database performance and query efficiency to handle large volumes of data and complex queries.
- Documented data processes, models, and system architecture to ensure clarity and scalability.
Senior Marketing Analyist
Dell Technologies
10.2019 - 08.2021
- Conducted market research to analyze industry trends, competitor pricing, and customer behavior.
- Developed pricing models using advanced statistical and machine learning techniques to predict optimal pricing strategies.
- Integrated data from various sources to create a holistic view of pricing dynamics and inform decision-making.
- Monitored sales performance to identify opportunities for pricing adjustments and improvements.
- Created dashboards and visualizations using Microsoft Power BI to communicate pricing insights to stakeholders
Education
Bachelor of Technology - Software Analysis And Development
Senac
Porto Alegre, Rio Grande Do Sul, Brazil 05.2001 -
MBA - Data Engineering: Big Data
Instituto Infnet
Rio De Janeiro 05.2001 -
Bachelor - Business Management
Universidade Federal Do Rio Grande Do Sul
Porto Alegre 05.2001 -
Skills
- Programming Languages: Python, SQL, PySpark, JS
- Big Data Tools: Apache Spark, Apache Kafka, Hadoop
- Data Modeling & Warehousing: Entity Resolution, Data Lakes, Data Warehouses
- Cloud & DevOps: Docker, Kubernetes, CI/CD, Cloud Computing
- Machine Learning: Scikit-Learn, PyTorch, Feature Engineering
- Databases: PostgreSQL, Big Data Solutions
- Visualization & Reporting: Microsoft Power BI, Splunk
- Other Tools: Git, Jira, RabbitMQ, FastAPI
Accomplishments
Game Changer Award – Dell Technologies
Recognized for Report Automation by building automated pipelines, streamlining ETL processes, and enabling automatic slide deck generation from Power BI to PowerPoint, significantly improving team productivity.
Timeline
Data Engineer Senior Advisor
Dell Technologies
01.2024 - Current
Data Engineer Advisor
Dell Technologies
08.2021 - 01.2024
Senior Marketing Analyist
Dell Technologies
10.2019 - 08.2021
Bachelor of Technology - Software Analysis And Development
Senac
05.2001 -
MBA - Data Engineering: Big Data
Instituto Infnet
05.2001 -
Bachelor - Business Management
Universidade Federal Do Rio Grande Do Sul
05.2001 -
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