Jose David Arevalo

Berufserfahrung von Jose David Arevalo

• Bis heute 1 Jahr und 2 Monate, seit Apr. 2023

  Staff / Lead Data Engineer

  Latana GmBH

  Leadership: Direct ML and Data Engineering teams, fostering collaboration and driving project excellence. Innovation: Revolutionized data export processes, slashing time from 25 hours to 3 minutes using cutting-edge tools like Postgres, Lambda, and API Gateway. Optimization: Enhanced production Data Science models, achieving significant cost savings and boosting processing speed through serverless AWS architecture.

• 1 Jahr und 11 Monate, Juni 2021 - Apr. 2023

  Lead Data Engineer

  Latana GmBH

  Team Building: Founded and cultivated the Data Engineering team, leading diverse projects and streamlining cross-team collaborations. Automation: Crafted an advanced orchestrator using Lambda, DynamoDB, SNS, and API Gateway, automating data processes and achieving a 70% reduction in manual work. Infrastructure: Played a pivotal role in fortifying the company's data infrastructure, ensuring robustness and efficiency.

• 4 Monate, März 2021 - Juni 2021

  Senior Data Engineer

  Latana GmBH

  Cost Efficiency: Achieved a monumental cost reduction from $12k to $1k monthly by transitioning from Redshift to Athena and Postgres tables. Best Practices: Championed operational excellence by introducing industry-leading best practices. Performance: Streamlined a Ruby on Rails application, dramatically reducing data import time and enhancing user experience.

• 1 Jahr und 4 Monate, Dez. 2019 - März 2021

  Data Tech Lead

  PayU

  Vision: Pioneered the Data HUB design, centralizing data sources and enhancing global reporting capabilities. Technical Mastery: Spearheaded data processes optimization using a suite of tools including Python, Scala, Spark, and Kafka. Mentorship: Cultivated a high-performing Data Engineer team in Colombia, emphasizing CI/CD, SCRUM methodologies, and nurturing a culture of continuous learning.

• 1 Jahr und 5 Monate, Aug. 2018 - Dez. 2019

  Senior Data Scientist

  OmniBnk

  Cloud Expertise: Led the architecture and implementation of predictive models in AWS, leveraging tools like Lambda, Kinesis, and S3. Process Improvement: Transitioned ETL processes from Python to PySpark, achieving a 90% reduction in execution time and halving machine costs. Risk Management: Designed and deployed financial risk models with stellar performance, maintaining error metrics below 2%.