BigQuery Data Engineer for Hire
BigQuery Specialist: Marketing Data Warehouses Built for Attribution and Activation
Stop running attribution off sampled GA4 reports. We build production BigQuery warehouses that combine GA4, Google Ads, Meta Ads, Shopify, Stripe, and CRM into one trusted model — with dbt, BigQuery ML, and reverse ETL out to the channels where work happens.
A BigQuery specialist designs and builds marketing data warehouses on Google Cloud — ingesting GA4, Google Ads, Meta CAPI, Shopify, and CRM data into BigQuery, modeling it with dbt for attribution and identity resolution, and activating insights via BigQuery ML and reverse ETL. As of 2026, a typical engagement runs 2-8 weeks and costs between $5,000 (single pipeline) and $35,000 (full marketing data warehouse), with managed pipeline operations from $300/month. TagSpecialist has spent a decade shipping BigQuery implementations for DTC brands, agencies, and enterprise advertisers.
BigQuery Specialist Services
From a focused cost audit to a full marketing data warehouse — production-grade BigQuery work, end to end.
Marketing Data Warehouse Build
A unified BigQuery warehouse that combines GA4, Google Ads, Meta Ads, Shopify, Stripe, and CRM data into one queryable model. Built with partitioning, clustering, and dbt models tuned for marketing attribution.
- Source-to-warehouse ELT pipelines
- Partitioned, clustered tables for fast queries
- dbt models for staging, intermediate, and marts layers
- Identity resolution across web, app, and CRM
- Documentation and lineage diagrams
Server-Side GA4 → BigQuery Pipelines
Capture every server-side GA4 event in BigQuery — separate from the sampled native GA4 export — for unbiased attribution analysis and downstream activation. Built on Cloud Run with Pub/Sub buffering.
- sGTM container → Pub/Sub → BigQuery streaming
- Schema design for raw and modeled events
- Partitioning on event_timestamp, clustering on event_name
- Event deduplication and late-arrival handling
- BigQuery cost guardrails
dbt Modeling & Identity Resolution
Turn raw event streams into trusted marketing tables. dbt models that resolve user identity across devices, sessionize events, attribute conversions, and roll up to channel and campaign level — versioned, tested, and documented.
- dbt project scaffolding (staging / intermediate / marts)
- Identity stitching across client_id / user_id / hashed email
- Sessionization and channel attribution models
- dbt tests for data quality and uniqueness
- Exposure tracking to downstream BI / activation
BigQuery ML & Forecasting
Predictive models built directly in BigQuery — no separate ML infrastructure required. Customer LTV, churn propensity, conversion likelihood, and demand forecasting models trained on your warehouse data.
- BQML model design and training
- LTV and propensity score generation
- Time-series forecasting for revenue / acquisition
- Model evaluation and monitoring
- Activation: scores piped to Google Ads / Meta as audiences
Cost Optimization Audit
BigQuery costs growing faster than warehouse value? We audit query patterns, table design, partitioning, and slot usage — and deliver a fixed remediation plan. Most clients cut BigQuery spend by 30-60% after remediation.
- Slot consumption analysis (on-demand vs reservations)
- Query pattern audit for full-scan offenders
- Partitioning and clustering recommendations
- Materialized view and BI Engine opportunities
- Storage tiering and retention policy review
Reverse ETL & Activation
Push warehouse insights back into the tools where work happens. BigQuery audiences activated to Google Ads, Meta, HubSpot, Klaviyo, and CRM — server-side, schedule-driven, with consent gating.
- Reverse ETL pipelines (Cloud Run / Hightouch / Census)
- Audience builds for ad-platform Customer Match
- CRM enrichment with LTV / propensity scores
- Consent-aware destination filtering
- Activation cadence and freshness monitoring
Why Choose TagSpecialist as Your BigQuery Engineer
Marketing-native data engineering — not generalists who learn your stack on your dime.
15+ Years of Data Engineering
Not analytics generalists — we ship production data infrastructure on Google Cloud (BigQuery, Cloud Run, Pub/Sub, dbt) every week.
Marketing-Native, Not Generic Data Eng
We model GA4, Ads, CAPI, and CRM data daily. Generic data teams spend the first month learning your stack; we start in week one.
BigQuery Cost Discipline
Every table partitioned and clustered. Every query reviewed for full-scan risk. Most clients see 30-60% lower BigQuery bills after our audits.
Direct Engineer Access
No project managers, no offshore handoffs. You work directly with the engineer writing the dbt models and Cloud Run services.
End-to-End Data Ownership
Everything we build, you own. dbt repos, Cloud Run services, BigQuery datasets, IAM — all in your GCP project under your control.
A Decade of Implementations
From DTC Shopify brands to enterprise advertisers spending $50M+ annually — proven results across industries and scales.
BigQuery Specialist Engagements
Fixed-scope, fixed-price engagements. No hourly billing, no scope creep surprises.
| Engagement | Price Range | Timeline | Best For |
|---|---|---|---|
| BigQuery Audit & Cost Optimization | $1,500 – $5,000 | 3–5 business days | Cutting BigQuery spend, fixing query patterns |
| Marketing Pipeline Build | $5,000 – $12,000 | 2–3 weeks | Server-side GA4 → BigQuery, Ads + CAPI ingest |
| Full Marketing Data Warehouse | $18,000 – $35,000 | 5–8 weeks | dbt models, identity resolution, BQML, activation |
| Managed Pipeline Operations | From $300/month | Ongoing | Monitoring, dbt updates, schema evolution |
How It Works
From audit to live warehouse with zero disruption to your existing reporting.
Audit Current State
We map your existing data sources, BigQuery usage, and reporting needs. Identify what is broken, missing, or expensive.
Architecture Proposal
Fixed-price quote with schema design, dbt project layout, pipeline architecture, and clear deliverables.
Build & Validate
We build pipelines, dbt models, and dashboards in parallel with your existing stack. You see progress weekly.
Handoff & Operate
Documentation, runbooks, and knowledge transfer. Optional managed retainer for ongoing operations and changes.
Don't Just Take My Word For It
Real reviews from paid client engagements — every project completed, logged, and rated on Upwork.
"Aman is hands down the best Google and Meta tracking specialist I've ever worked with. His deep expertise, problem-solving skills, and attention to detail make him an absolute game-changer."
Google & Meta Tracking
Verified Upwork Review
"Aman did a fantastic job setting up GA4 and Tag Manager for 3 ecommerce websites I have. I will definitely work with him again and be referring others to him."
GA4 & GTM Implementation
Verified Upwork Review
"Incredibly skilled with Facebook attribution, and was thorough in troubleshooting and solving my issue, even on my checkout software that he wasn't already familiar with."
Facebook Attribution
Verified Upwork Review
"Excellent troubleshooting and testing. Professional and knowledgeable with Google Analytics, Tag Manager, Facebook Ads Manager. Would highly recommend and will gladly rehire in future."
Meta CAPI Setup
Verified Upwork Review
"Very good developer. Always did a good job. We've worked together for over 3 years. Aman has been instrumental in our tracking success."
GTM Implementation
Verified Upwork Review
"Aman is great and knowledgeable. He's a great communicator too. His audit helped us identify critical tracking gaps and improve our campaign performance significantly."
SA360 Account Audit
Verified Upwork Review
Upwork Client Reviews
Longest Client Engagement
Response Time
Senior-Level Delivery
Every review shown is from a verified, paid engagement on Upwork.
BigQuery Specialist FAQ
Ready to Build a Real Marketing Data Warehouse?
Book a free 15-minute audit. We'll review your current BigQuery usage, identify cost wins, and scope a warehouse architecture that actually answers attribution questions.