Dev Patel

I’m a Senior Data Engineer with 8+ years of experience building large-scale enterprise data platforms across healthcare, financial, retail, telecom, and government datasets. I design scalable data structures—data lakes, data warehouses, ingestion pipelines, transformation layers, and curated datasets—to power enterprise reporting and decision systems.

I’ve built ingestion frameworks that collect data from relational databases, flat files, APIs, and streaming platforms, then transform it with robust ETL/ELT patterns. I perform deep data profiling and quality checks (null analysis, duplicates, schema inconsistencies, referential integrity) to ensure reliable pipelines before publishing analytical layers.

I architect and implement end-to-end processing: structured lake zones (landing/standardized/curated), dimensional modeling (star schema, dimensional modeling, SCD Type 2), and orchestration frameworks to schedule ingestion, transformation, validation, and warehouse refresh cycles. I also deliver monitoring and logging so teams can troubleshoot quickly and keep platforms running.

My work spans modern cloud and engineering practices, including Azure and GCP services, Spark (PySpark/Scala/Spark SQL), and CI/CD automation for repeatable deployments. I’m driven by data governance, metadata/lineage management, and security—so analytics teams get trusted, well-governed datasets they can confidently act on.