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Portfolio · Databricks

Databricks
Engineering

Case studies on Unity Catalog, Delta Lake architectures, PySpark performance tuning, and end-to-end lakehouse implementations. Deep-dive technical walkthroughs — coming soon.

Work in Progress
Databricks Certified
Case Studies

Upcoming Projects

Detailed walkthroughs of real-world Databricks implementations — from design decisions to production outcomes.

Project 01
Unity Catalog
Enterprise Setup

End-to-end implementation of Unity Catalog across multiple workspaces — covering metastore architecture, privilege model design, data lineage tracking, and cross-workspace sharing for a multi-team analytics platform.

Unity Catalog Metastore Data Lineage Access Control
Coming Soon
Project 02
PySpark Performance
Tuning Deep-Dive

Reducing Spark job runtimes by 40%+ through partitioning strategies, adaptive query execution, broadcast join optimisation, and intelligent caching — with before/after benchmarks and Spark UI teardowns.

PySpark AQE Broadcast Joins Partitioning
Coming Soon
Project 03
Medallion Architecture
on Delta Lake

Designing and building a production Medallion (Bronze → Silver → Gold) architecture with Delta Lake — including schema evolution, Z-ordering, VACUUM strategies, and incremental load patterns using Auto Loader.

Delta Lake Medallion Auto Loader Z-Order
Coming Soon
Project 04
Real-time Streaming
Pipelines

Building low-latency streaming pipelines with Structured Streaming and Delta Live Tables — ingesting from Azure Event Hubs, applying stateful aggregations, and writing to Gold-layer tables with exactly-once guarantees.

Structured Streaming DLT Event Hubs Stateful Ops
Coming Soon
Tech Stack

Tools & Technologies

The Databricks ecosystem and complementary Azure services powering these projects.

DB
Azure Databricks
Runtime · Clusters · Jobs
UC
Unity Catalog
Governance · Lineage
Δ
Delta Lake
ACID · Time Travel
Apache Spark
PySpark · SQL · Streaming
ADL
ADLS Gen2
Storage · Raw Landing
ADF
Azure Data Factory
Orchestration · ETL