Processing

Data Engineering with Databricks

Databricks unifies data engineering, analytics, and machine learning on a single lakehouse platform. I use it to migrate expensive legacy ETL workloads, build Delta Lake architectures, and deliver significant cost savings — in one engagement, a Databricks migration saved $140K annually while delivering insights 12 hours faster. For organizations evaluating lakehouse vs. traditional warehouse architectures, I provide hands-on guidance grounded in production experience.

Projects Using Databricks

Analytics

Marketing Campaign Analytics

Optimizing ETL processes for marketing campaign analysis

$140K Annual Savings-30% Compute Costs
PythonDatabricksSQLApache Spark
Fintech

Investment Portfolio Analytics System

Statistical analysis system for investment portfolio monitoring

30min Analysis Window1% Detection Threshold
PythonPySparkRGit

Industries Where I Use Databricks

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Let's discuss how Databricks fits into your data infrastructure strategy.