DataOps
Training & Workshops
Applying DevOps principles to data management, this area emphasizes pipeline automation, CI/CD integrations, cost efficiency, and operational flexibility. Courses focus on building enterprise-grade Git workflows for secure code governance, pipeline acceleration and cloud cost optimization for platforms like Snowflake and Databricks, real-time event-driven stream engineering using Apache Kafka, and FinOps strategies for managing AI and LLM workloads.
Git & CI/CD
The foundation of every DataOps setup: governed repositories, branching and automated deployment.
Scalefree
Enterprise Governance with Git: Secure, Efficient, and Scalable Code Repositories
Master enterprise-grade Git workflows. Learn robust branching strategies, automated compliance gatekeeping, and secure access controls for repository efficiency, strong governance, and CI/CD integration.
Platform DataOps
Apply CI/CD to your data platform: faster pipelines, safer releases and lower compute costs.
Scalefree
Snowflake DataOps: Pipeline Acceleration and Cloud Cost Optimization
Streamline your Snowflake operations. This course covers pipeline automation: a sustainable Git branching strategy, Slim CI that cuts credit use by testing only changed code, plus Zero-Copy Cloning and rollbacks.
Scalefree
Databricks DataOps: Pipeline Acceleration and Platform Cost Optimization
Slash infrastructure waste. This course covers a sustainable Git branching strategy, Slim CI that cuts DBU use by testing only changed code, plus Delta Shallow Cloning and time-travel rollbacks.
FinOps & Cost Optimization
Know where your cloud and AI budget goes, and keep it under control.
Scalefree
Cloud Data Platform FinOps: Cost Allocation, Monitoring, and Optimization
Control your cloud budget. Learn a FinOps framework for AWS, Azure, Google Cloud, Snowflake, and Databricks: cost allocation, real-time monitoring, and automated hard stops. Customizable to your stack.
Scalefree
AI Cost Optimization: Monitoring, Self-Hosting, and Enterprise FinOps
Scale AI without breaking your budget. This strategic and technical course shows you how to monitor LLM token use, track multi-provider API costs, set guardrails, and weigh self-hosting open-source models against commercial APIs.
Reliable & Real-Time Pipelines
Ship data your stakeholders can trust, and move from batch to event-driven flows.
Scalefree
Enterprise-Grade Data Reliability: Advanced Quality Testing & End-to-End Observability
Prevent bad data from reaching stakeholders. This hands-on course teaches data engineers and architects to build pipeline guardrails that block bad data before it moves downstream and catch anomalies and schema drift early.
Scalefree
Real-Time Stream Engineering: Designing Architectures with Apache Kafka
Shift from reactive batch processing to continuous data flows. Learn to architect, scale, and secure enterprise event streams with Apache Kafka, covering topics, partitions, and schema registries.
DataOps Trainers
Damian Hinz
Senior Consultant
Damian Hinz is a Senior Consultant and official ISACA CISA trainer who brings a risk-aware perspective to his deep IT auditing expertise. He works to empower risk and security professionals by translating complex regulatory frameworks into clear strategy.
Jonas Subel
Senior Consultant
Jonas Subel is a Senior Consultant who bridges cutting-edge AI and streamlined Business Process Automation. Backed by hands-on experience in Data Transformation and DataOps, he breaks complex systems and algorithms into concrete frameworks for data teams.
Ole Bause
Senior Consultant
Ole Bause is a Senior Consultant specializing in Data Architecture, AI, and Data Engineering, with a focus on modern data strategy. Combining architectural design with hands-on experience in cloud data warehousing, transformation, and governance, he translates complex workflows into practical blueprints.
Julian Brunner
Managing Consultant
Julian Brunner is a Managing Consultant focused on Data Transformation and Data Architecture. His strength in bridging strategic goals with execution helps engineers, data leaders, and product owners optimize workflows across modern data stacks.
Unsure what to choose or interested in customized options?
Tell us about your platform and your delivery process, and we will put together the right training.
