I work daily with Google BigQuery and Tableau and have reached the point where advanced query tuning and dashboard performance are slowing me down. I’m looking for an experienced mentor who can jump on short, recurring sessions (a few hours each week) to help me push past these hurdles. Primary focus My most pressing need is SQL query optimisation in BigQuery, specifically making very large-scale datasets run efficiently without burning through resources. Expect to walk through real project queries with me, profile execution plans, adjust partitioning and clustering strategies, and validate the results live in the GCP console. Broader support Beyond SQL, I’d value guidance on Tableau best practices—layout, calculated fields, extract vs. live strategy, parameter design—and a light touch on Python (Pandas) for data prep so my pipelines stay clean end-to-end. How we’ll work • Interactive screen-sharing or pair-programming sessions (recorded for my reference) • Ad-hoc chat support between calls for quick blockers • Practical, example-driven teaching style—show me why something works, not just what to type Ideal mentor Someone fluent in BigQuery internals, active in GCP, comfortable explaining performance trade-offs, and equally at home crafting responsive Tableau dashboards. A background in data modelling and analytics concepts will help stitch everything together. If this sounds like your wheelhouse, let’s schedule an initial call and set up a steady cadence.