Raghav S.

Enterprises hire me when their Looker instance is broken, their LookML is unmaintainable, or their team can't deliver dashboards fast enough. I build and manage Looker platforms on BigQuery and Snowflake — 15 years in BI, the last 5 focused entirely on Looker. I managed Upwork’s own Looker platform for nearly 3 years — data modeling, dashboarding, administration, embedding, automations, and governance for their Finance Systems org on Snowflake. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐋𝐨𝐨𝐤𝐞𝐫 𝐛𝐮𝐢𝐥𝐝𝐬 (what enterprises actually use daily) → Finance & revenue reporting (P&L, billing, ARR/MRR, cash flow) on Snowflake or BigQuery → Operational KPI dashboards with drill-down: executive → department → team → individual → Marketing attribution & funnel analytics (GA4, CRM, ad platforms into Looker via Fivetran) → SaaS metrics (cohort retention, churn, LTV, CAC) with LookML semantic layer → Embedded Looker analytics (SSO embed, Looker API) for customer-facing products → Tableau → Looker, Power BI → Looker full migrations with dashboard recreation 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐦𝐲 𝐋𝐨𝐨𝐤𝐌𝐋 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 → DRY LookML: extends, refinements, object inheritance — no copy-paste models → Explore design: access filters, always_filter, sql_always_where for row-level security → PDTs and incremental PDTs tuned for performance → Liquid parameters and templated filters for dynamic dashboards → Data tests and LookML validation in CI/CD → Git workflow: feature branches, PR reviews, dev → staging → prod → Looker admin: user provisioning, content management, performance monitoring → Embedding: SSO embed, private embed, API-driven customer-facing analytics → Automations: scheduled deliveries, alerts, System Activity monitoring → Conversational analytics: Looker + LLM for natural language exploration 𝐏𝐫𝐨𝐨𝐟 → Upwork’s Looker platform ~3 years: modeling, admin, embedding, automations, governance on Snowflake. 1,072 hrs, 5.0 ⭐ → 1,323 hrs for enterprise client: rebuilt Looker instance, optimized dashboards, migrated Redshift → Snowflake, trained team on LookML → Migrated GumGum’s Looker from Redshift to Snowflake → 20+ enterprise Looker implementations across fintech, insurance, healthcare, ecommerce, SaaS, travel, media → ~100 co-dev sessions with client Looker teams → $400K+ earned, 7,000+ hrs, 100% JSS, Expert-Vetted (top 1%) 🔹 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 → 𝐂𝐨𝐫𝐞 𝐋𝐨𝐨𝐤𝐞𝐫 𝐃𝐞𝐯 — LookML modeling, explores, PDTs, caching, Looker API, embedded analytics, dashboards → 𝐋𝐨𝐨𝐤𝐞𝐫 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐌𝐠𝐦𝐭 — Admin, governance, user provisioning, content lifecycle, performance monitoring. Monthly retainer → 𝐂𝐨-𝐃𝐞𝐯 𝐒𝐞𝐬𝐬𝐢𝐨𝐧𝐬 — ~100 delivered. 60-min live pairing on YOUR LookML codebase. We ship code every session → 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐔𝐬𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 — Self-service explores, dashboards, scheduling, conversational analytics. 20+ enterprise teams trained → 𝐋𝐨𝐨𝐤𝐞𝐫 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 — Tableau/Power BI/MicroStrategy → Looker. Source audit, schema mapping, LookML generation, validation 🔹 𝐀𝐈 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 Custom MCP servers that let AI agents interact with Looker, BigQuery, Snowflake: → AI-automated LookML code reviews → Tableau → Looker migrations 10x faster via MCP + AI → AI-generated Looker documentation → Natural language → LookML/SQL → Conversational analytics: Looker + Claude AI 🔹 𝐃𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 → BigQuery and Snowflake (primary), Redshift, PostgreSQL → dbt / Dataform for transformations → Fivetran / Stitch / Airbyte for ingestion → Looker Studio for GA4, Google Ads, Google Sheets reporting 🔹 𝐁𝐞𝐬𝐭 𝐟𝐢𝐭 → Enterprises needing LookML development, Looker platform management, or team upskilling → Companies migrating from Tableau/Power BI/MicroStrategy to Looker → Teams wanting a Looker expert who can also serve as Fractional CDO 🔹 𝐍𝐨𝐭 𝐚 𝐟𝐢𝐭 → One-off builds with unclear requirements or no warehouse → Looker Studio-only projects under $1K → Full-time roles — I work fractional or project-based 𝐍𝐞𝐱𝐭 𝐬𝐭𝐞𝐩 Message me: your Looker challenge, warehouse (BigQuery/Snowflake), and team size. I’ll reply with a 1-page action plan + estimate.