Virgilio Gonzenbach

As a Cloud-first Data and DevOps Engineer with 5+ years of experience, I specialize in architecting and building the automated platforms that power modern data analytics. I thrive on solving complex challenges in large-scale, enterprise environments.

In my recent roles at Deutsche Bank and MediaMarktSaturn, I've focused on high-impact initiatives:

Platform Engineering: I co-developed an IaC-driven migration platform to stream on-prem Kafka data into BigQuery, and I operated ~20 Terraform Enterprise workspaces to ensure governance and stability across a multi-tenant cloud environment.

Data Warehousing & Architecture: I designed and co-architected a Medallion-style enterprise data warehouse on BigQuery and Dataform, establishing the core framework for data quality, partitioning, and incremental loading for a team of 12 developers.

DevOps & CI/CD Automation: I bootstrapped CI/CD layers from the ground up using GitHub Actions and Terraform, cutting deployment times by up to 90% and reducing developer workload by 30% through pre-merge testing and automated rollbacks.

My core technical expertise includes:

🔹 Cloud: Google Cloud Platform (GCP), AWS

🔹 IaC & DevOps: Terraform, Terraform Enterprise, GitHub Actions, Docker

🔹 Data & Analytics: BigQuery, Spark/Dataproc, Kafka/Pub-Sub, Airflow/Composer

🔹 Languages: Python, Scala, SQL, Bash

As a former Ivy-League master's candidate and a Google Cloud Professional Data Engineer, I combine a rigorous academic foundation with hands-on, practical expertise.

I'm passionate about building resilient, efficient, and scalable data solutions. If you're tackling a challenge in cloud migration, data platform automation, or DevOps, I'd love to connect.