Jessica C.
Google Sheets, BigQuery & Looker | Apps Script
If it runs on Google, I've probably built something with it. Sheets, BigQuery, Apps Script, Looker, AppSheet, Drive — I've spent years deep in the Google ecosystem, building the kind of systems that quietly keep teams running. That's my wheelhouse. But the real value isn't knowing the tools. It's knowing what to build with them. Most teams don't need another dashboard. They need someone who can look at how data actually moves through their work — the exports, the copy-pastes, the "let me just check this manually" steps — and turn that into something that runs itself. I build reporting, automation, and data pipelines for every stage of the problem. Sometimes that's fixing one spreadsheet that eats up someone's Friday afternoon. Sometimes it's connecting BigQuery to Looker so a whole team stops asking the analyst for numbers. Sometimes it's a backend service that processes thousands of records while everyone's asleep. Recent examples ✅ Automated weekly reporting by pulling BigQuery data directly into Google Sheets via Apps Script — what used to take a full day now runs on its own ✅ Built data pipelines that clean, categorize, and route tens of thousands of records automatically — a process that previously tied up a team for hours ✅ Set up Looker dashboards on top of BigQuery so teams could pull their own metrics instead of waiting on someone to run a query ✅ Wired together BigQuery, Cloud Run, and Drive to produce full monthly client reports end-to-end — turned days of assembly into a single trigger What I build 🔹 Google Apps Script & Workspace automation (Sheets, Docs, Gmail, Drive) 🔹 Excel automation and advanced spreadsheet solutions 🔹 Looker dashboards and Looker Studio reports 🔹 Data pipelines, SQL, and reporting (BigQuery, PostgreSQL, ETL) 🔹 Python scripts and backend systems (FastAPI) 🔹 API integrations and workflow automation 🔹 AppSheet apps — no-code/low-code tools your team actually uses I've taught calculus to college freshmen — if I can make that click, you're in good hands. Tech stack Python, FastAPI, SQL BigQuery, PostgreSQL, Cloud SQL GCP: Cloud Run, Pub/Sub, GKE Looker, Looker Studio Google Workspace: Apps Script, AppSheet, Sheets, Docs, Gmail, Drive Microsoft Excel
Earnings and projects
An estimate from an earlier read
Last 6 months: $1.8k
Billed in all: $3,769$3.8k
$898 in the last 6 months
Earnings, last 30 days
No reading in this range. Dotted: longer than usual between two readings. Hatched: over two weeks without one.
Skill rankings: Top 20% in SQL
Ranked by MRR among everyone on Upwork with the skill.
- #39Apps Script API123 freelancers · 🇺🇸 #3Top 32%🇺🇸#3 of 11
- #80Google Spreadsheets API304 freelancers · 🇺🇸 #2Top 26%🇺🇸#2 of 20
- #284Google Sheets Automation1,085 freelancers · 🇺🇸 #34Top 26%🇺🇸#34 of 102
- #289BigQuery908 freelancers · 🇺🇸 #49Top 32%🇺🇸#49 of 130
- #404ETL Pipeline1,396 freelancers · 🇺🇸 #73Top 29%🇺🇸#73 of 233
- #489Looker Studio1,813 freelancers · 🇺🇸 #70Top 27%🇺🇸#70 of 272
- #621Google Cloud Platform2,939 freelancers · 🇺🇸 #85Top 21%🇺🇸#85 of 364
- #1,405FastAPI4,337 freelancers · 🇺🇸 #125Top 32%🇺🇸#125 of 267