David Esteban is a Cloud Data Engineer with 8 years' experience designing and shipping resilient data platforms across AWS and Azure, currently preparing data for Veeva Link after leading HEMA's migration to a Databricks-based lakehouse. He combines hands-on Spark and Kafka engineering with infrastructure-as-code and CI/CD practices, having built ingestion systems with Lambda, ECS Fargate, Airflow and automated deployments using CDK and Azure Pipelines. David mentors teams, establishes code standards and reusable Spark packages, and has practical experience with Unity Catalog, Lake Formation and Redshift/Synapse migrations. His background spans on-prem to cloud migrations, MLOps prototyping and even UX-driven software design from earlier roles, reflecting a rare blend of data engineering, DevOps and product-oriented thinking. He contributes to open source and writes a technical blog to stay current and share lessons from production-scale data work.
9 years of coding experience
8 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Personal project where I perform some analytics (including Sentiment Analysis) over a Twitter Stream using Big Data Technologies of the Hadoop echosystem such as Flume, Kafka, and Spark Streaming.
Contributions:1 review, 8 commits, 4 PRs in 2 years 5 months
Contributions:9 commits, 12 pushes, 1 branch in 4 months
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