
Back in the day, developers used MongoDB because they hated SQL schemas and loved chaos. Today, it is an enterprise data platform handling everything from dynamic e-commerce catalogs to native vector searches for generative AI. Stop treating it like a giant JSON garbage disposal; here is how the engine actually works under the hood.
Lead Data Infrastructure Architect | Databricks, PySpark & Cloud DW
I am a Lead Data Infrastructure Architect with 13+ years of experience engineering high-throughput data platforms for fintech and consumer apps. I specialize in the Databricks Lakehouse ecosystem, PySpark, BigQuery, and Snowflake. I write about modern data architecture, cloud cost optimization (FinOps), declarative ELT pipelines, and scaling systems to process 100K+ events per second. When I'm not untangling complex legacy databases, I'm building zero-loss data quality frameworks.
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