I'm an Associate Software Engineer at PibyThree, building enterprise-grade data and AI platforms on top of the modern data stack. My work sits at the intersection of data engineering, cloud platform design, and applied AI — turning raw, messy, multi-source data into governed, trustworthy systems that enterprises can build products on.

• 🧠 Enterprise AI — designing agentic and LLM-powered systems for document understanding, fraud detection, and retrieval over structured + unstructured data
• ❄️ Snowflake — ingestion frameworks, governance, access control, lineage, and performance engineering at scale
• 🔧 dbt & Analytics Engineering — metadata-driven transformation, testing, and data quality as code
• 🌐 Open Source — contributing back to the dbt and data engineering community
• ⚙️ Automation & Platform Engineering — Go services, Airflow orchestration, and infrastructure-as-code with Terraform
• ☁️ Cloud — AWS and Databricks across production data platforms

I care about building systems that are observable, governed, and quietly reliable — the kind of infrastructure enterprises don't have to think about because it simply works.

I contribute upstream to dbt-core and community packages — improving macros, tests, and documentation for the analytics engineering ecosystem — and maintain internal-turned-public tooling around Snowflake governance and data ingestion.

_{Designed & built by Dipak Mandlik · PibyThree · Data + AI Platform Engineering}