Muhammad Raza

I'm currently building enterprise batch and real-time data pipelines at Rin Technologies across Azure, AWS, and GCP. I architect Databricks lakehouse solutions using Delta Lake and Bronze, Silver, and Gold data layers.

I design metadata-driven ingestion frameworks with CDC, incremental loading, schema evolution, watermarking, and streaming through Kafka, Event Hubs, and Kinesis. I also optimize Spark and PySpark workloads through partitioning, caching, broadcast joins, predicate pushdown, and file-format improvements.

Previously at High Tech Lab and Pure Logics, I delivered ETL/ELT pipelines, cloud data platforms, data warehouses, and dimensional models using Python, SQL, Spark, Databricks, Airflow, Snowflake, Azure, and AWS. My work has included data quality, reconciliation, migration, production support, and performance tuning across relational databases and cloud warehouses.

I lead data architecture and engineering strategy while supporting governance, lineage, security controls, CI/CD, infrastructure automation, and team mentorship. I focus on reliable, high-performance enterprise data solutions that make data accurate, secure, and usable.