DataStack Pro

Production-ready Airflow DAG templates for modern data pipelines with error handling and monitoring.

Change data capture pipeline for Databricks with Debezium parsing, merge into, and offset management.

Automated metadata discovery, data dictionary generation, and searchable catalog for Unity Catalog.

Observability framework for Databricks with lineage tracking, anomaly detection, and SLA monitoring.

Comprehensive testing framework for PySpark data pipelines from unit tests to integration validation.

Pluggable quality engine with built-in checks for completeness, accuracy, consistency, and timeliness.

Production-ready audit and inventory toolkit for Databricks workspaces. Runs 12 independent audit modules across security, governance, cost, and configuration with consolidated reporting.

Production-ready starter templates for building data platforms on Databricks with Unity Catalog and Delta Lake: workspace bootstrap, medallion layout, and job scaffolding.

Automate Databricks workspace management including clusters, jobs, secrets, and permissions.

Production-ready Delta Lake merge, optimization, and maintenance patterns for Databricks.

A comprehensive decision framework and implementation guide for building production-grade medallion (bronze/silver/gold) architectures in Databricks.

Battle-tested PySpark utility functions for transformations, data quality, SCD, schema evolution, and lineage.

Detect, validate, migrate, and analyze schema changes across Delta Lake tables safely and automatically.

Production-ready medallion architecture ETL framework for Databricks and Apache Spark.

Definitive guide to optimizing Apache Spark performance on Databricks with 25+ patterns.

Real-time data pipelines with Spark Structured Streaming, Kafka integration, and monitoring.

Production-ready governance templates for Databricks Unity Catalog with policies and auditing.