Oscar Campos

Experience

• 

  GPI Consultores S.A

  Mar 2012 - Sept 2012

  Data Warehouse Analyst

  Contractor worker for CitiBank Costa Rica.• Developing and maintaining reports using Business Objects.• Creating ETLs with Business Object Data Integrator tool.• Querying Sybase IQ database.

• 

  BAC|Credomatic

  Sept 2012 - Jun 2015

  Business Intelligence Analyst

  Scripting using SQL Server, DB2 and QRY/400 to extract and integrate valuable data. Creation of reports for the management. Process automation using web development technologies and VBA for office.

• 

  Infotree Service Inc.

  Jul 2015 - Jul 2016

  BI Developer

  Contractor Worker for Intel Costa Rica.BI developer focused in Big Data. Using Apache PIG in a Hadoop cluster to handle and summarize big volume of information. Process automation in different technologies.

• 

  Intel Corporation

  Aug 2016 - May 2018

  Data Analyst

  Working in a team responsible of building a data lake on top of Hadoop using Hive/Impala databases and ETLs created with Python, Apache Spark. Complementing this with Microsoft SSIS, Java and Linux scripting in order to fill more complex scenarios.

• 

  Growth Acceleration Partners

  Jun 2018 - Jan 2022

  Working on multiple projects of data modeling and data ingestion in the cloud with MS Azure. Using technologies like ADF, Pyspark, Databricks. Architecting solutions for the organization’s data strategy in big data platforms like Snowflake and Hadoop.

  • Staff Data Engineer

    Apr 2021 - Jan 2022

  • Senior Data Engineer

    Jun 2018 - Mar 2021
• 

  Visa

  Jan 2022 - Dec 2022

  Data Engineer

  Big data processing and automation with apache spark, automated data quality pipelines and tableau reports

• 

  Freelance

  Jan 2023 - now

  Senior Data Engineer

  Designing and building end-to-end data pipelines for seamless integration and cleansing of information within Azure Databricks and Snowflake environments. Specialized in crafting robust solutions to aggregate data and maintain data integrity. Leveraging Python for API development to serve data to external applications. Deploying solutions on the Azure cloud platform.