I build automated data systems.
Clean data in — automatic operations out. I turn messy CRMs and scattered spreadsheets into systems that track, route, and report on their own.
Agatha Pawlikowski · Detroit, Michigan · Available remote
What I do
Automated data systems
I rebuild your CRM and data foundation so it tracks, routes, and reports without anyone touching a spreadsheet.
- CRM buildout and cleanup
- Pipeline and lifecycle design
- SQL and dbt data modeling
- Dashboards that update themselves
- Workflow and reporting automation
Fractional operations
Embed me part-time as your ops or RevOps person to keep the system clean and evolve it as you scale.
- Ongoing pipeline and data hygiene
- Forecasting and reporting cadence
- New automations as you grow
- Sales-ops process and enablement
Not sure where to start? Begin with a one-time systems teardown — I audit your stack and hand you the fix-it plan.
How it works
One
Map & clean
Your CRM and data sources become one trustworthy foundation — deduped, structured, defensible.
Two
Automate
Pipelines, routing, and reporting run on their own, with dashboards your team can self-serve.
Three
Run
Optional. I stay on fractionally to keep it healthy and add automations as the business changes.
Selected work
Siemens Digital Industries Software
The single source of truth for hundreds of alliance partners
- Challenge
- Partner decisions ran on scattered, inconsistent data. No trusted shared view of performance — and no safe way to let partners see their own numbers without exposing everyone else's.
- Built
- The organization's only external-facing analytics product. A governed Tableau platform tracking ARR, ACV, TCV, learning, and pipeline, with dynamic row-level security driven by entitlement tables so each partner sees only their own data.
- Outcome
- Became the system of record for partner business reviews and executive QBRs. Fully automated, sole-owned. Partners self-serve their own truth instead of asking an analyst.
Siemens Digital Industries Software
One view from quote to revenue
- Challenge
- Quoting, opportunities, orders, and revenue lived in separate systems. Leadership couldn't trace a deal end to end, and analysts stitched it together by hand.
- Built
- Automated reconciliation workflows aligning quote to opportunity to order to revenue in a single view, plus a sales-order-entry dashboard consolidating the logic of four-plus quoting systems into one interface.
- Outcome
- Closed the quote-to-revenue visibility gap for senior sales leadership. Manual reconciliation replaced with real-time, end-to-end pipeline visibility.
Siemens Digital Industries Software
A reporting platform still running years later
- Challenge
- Learning and development reporting ran on a brittle legacy Excel system that couldn't scale to the curricula and tiers the organization needed to track.
- Built
- A consolidated, governed data source feeding a row-level-security and parameter-action framework — one architecture serving 25+ curricula from a single source. I reverse-engineered the legacy system to spec, then trained incoming analysts on the model.
- Outcome
- The same core architecture is still in production years after launch, and the framework let a small team scale to 40+ dashboards quickly and consistently.
Enterprise work shown at a high level to respect prior confidentiality. Happy to walk through specifics on a call.