Hi, I'm Parth, I got into tech by asking too many questions. How does data actually move across systems? How do pipelines hold up at scale? What's quietly powering the business decisions no one thinks twice about? 2+ years across insurance, now retail(pricing) at AAP. Each domain taught me something different about what "working in production" really means. The tools I reach for most: Palantir Foundry, Ontology, Data Lineage, Workshop, Python, Java, PySpark, Kafka, Airflow, Snowflake, Databricks, Terraform, BigQuery, GCP and AWS. Also keeping a close eye on where AI and LLMs are genuinely changing how engineers work — not the hype, the actual shift. Good engineering, to me, is curiosity plus follow-through. Happy to connect if you're building in data or cloud.