LogicLens

Clarity through the chaos.

Fractional data architecture and AI consulting for teams that need senior-level design and delivery — without the overhead of a full-time hire.

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Fractional Data Architecture

I embed as your senior data architect on a part-time basis — designing systems, reviewing stack decisions, and setting standards your team can execute against. You get the strategic clarity without the cost of a full-time principal hire.

AI / RAG Pipeline Design & Delivery

I design and build production-grade retrieval-augmented generation pipelines end to end — vector store selection, indexing strategy, chunking, re-ranking, and API integration. No prototypes handed over the fence; I stay through deployment.

Data Platform Modernization

Migrating off legacy infrastructure to Snowflake, Databricks, or Delta Lake? I've run these projects at scale — including a Rackspace-to-Snowflake migration that delivered $900K in annual savings. I scope, architect, and lead delivery.

Aerospace & Defense

Production RAG Pipeline — Regulated GovCloud Environment

Built a production RAG pipeline on Azure GovCloud for a large aerospace manufacturer, handling technical documentation retrieval in an ITAR-cleared environment. Architecture: Databricks medallion lakehouse, LanceDB with IVF_HNSW_SQ indexing, and a retrieval layer tuned for precision over noisy unstructured text. Deployed fully within GovCloud compliance boundaries.

  • Azure GovCloud
  • Databricks
  • LanceDB
  • Delta Lake
  • Python

Retail & Marketing

Marketing Pipeline Modernization

Modernized a large retailer's external marketing data pipelines — migrating fragile legacy processes onto a Snowflake-based platform with dbt for transformation and Python for orchestration. The migration off the old hosting platform delivered $75K/month in savings, $900K annually. The marketing team went from unreliable batch jobs to pipelines they could actually trust.

  • Snowflake
  • dbt
  • Python

Public Dataset POC

FAA Wildlife Strike Semantic Search

Built a semantic search POC over the FAA Wildlife Strike dataset — specifically the free-text REMARKS field, which resists traditional keyword search. Sentence-transformer embeddings stored in LanceDB enable natural-language queries against decades of incident reports. Integrated Claude API for summarization and answer synthesis over retrieved results.

  • Python
  • pandas
  • Delta Lake
  • LanceDB
  • sentence-transformers (all-MiniLM-L6-v2)
  • Claude API

I'm Arjun Krishnamoorthi, a data architect and engineer based in Chicago with 25+ years working across the full data stack — from pipeline infrastructure to analytical systems to production AI. I've worked with Fortune 500 enterprises and early-stage startups, and I've led projects ranging from greenfield platform builds to complex legacy migrations.

Some of that work has been in regulated defense environments — I've held ITAR clearance and understand what it means to design systems where compliance is non-negotiable.

I run LogicLens LLC as a fractional practice. My clients typically need a senior architect who can think through a problem end-to-end, make defensible decisions quickly, and work alongside their existing team without hand-holding or overhead. That's what I do.

If you have a data architecture problem or an AI project that needs senior hands — let's talk.