Felipe K.
Data Engineer

Skills

Spark

Sql

Sas

Python

Microsoft Azure

Amazon Aws

Google Cloud

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Bio

Data Engineer specializing in Python and SQL, with extensive experience in an array of tools and platforms, including Azure Data Factory, Databricks, Apache Spark, AWS Redshift, S3, Pentaho Data Integration, and Rundeck. Proficient in database management, covering Oracle, SQL Server, and NoSQL databases. Demonstrates strong capabilities in data analysis and visualization, particularly through Power BI, and holds significant expertise in cloud services via Azure and AWS.

Data Engineer
2/1/2023 - Present

Developed and optimized data pipelines utilizing AWS Redshift and S3, ensuring efficient and high-quality data flow. Utilized Pentaho Data Integration for extracting, transforming, and loading data from various sources, maintaining data integrity and consistency. Coordinated ETL processes, including business requirement mapping, script development, and flow monitoring. Implemented automated scheduling and task orchestration processes using Rundeck. Actively collaborated on an HR project, partnering with HR and IT teams to deliver data analysis solutions and reporting.
Senior Business Intelligence Analyst | Data Engineer
12/1/2018 - Present

Advanced development and maintenance of dashboards using Power BI and Data Studio. Gained expertise in the automation and development of scripts to enhance ETL processes, significantly improving data extraction and loading performance. Contributed to support operations by monitoring data loads, analyzing issues, and resolving incidents such as outdated data, duplications, and loading errors. Prepared databases for seamless integration with data visualization tools and created segmented databases for campaign launches. Acquired experience in agile project management utilizing the SCRUM methodology and demonstrated proficiency in managing data migration within hybrid environments.
FP&A Analyst
8/1/2016 - 12/1/2018

Developed proficiency in creating and maintaining dashboards using Power BI and Excel. Managed budget, forecast, and pricing controls to ensure financial accuracy and efficiency. Conducted comprehensive studies aimed at improving profitability.