Corporate Training
Hands-on workshops on Python, SQL, Airflow, Databricks, and data engineering best practices — tailored to your team's stack and goals.
Pragmatic data engineering, mentoring, and leadership — tailored to help teams ship reliable, production-grade data platforms.
Hands-on workshops on Python, SQL, Airflow, Databricks, and data engineering best practices — tailored to your team's stack and goals.
End-to-end design and implementation of data pipelines, lakehouses, and ETL/ELT systems with a focus on reliability, testing, and observability.
Part-time data/engineering leadership to help scale teams, establish standards, improve data quality, and align architecture to business needs.
Engaging sessions on modern data engineering, migration strategies (SAS→Python), HIPAA/healthcare data, and building self-validating pipelines.
Architecture reviews, migration planning, code reviews, and roadmap guidance to de-risk your data initiatives.
1:1 mentoring for data engineers — interview prep, project guidance, and career coaching based on real-world experience.