Nana Yaa
Nana Yaa Damptey

Nana Yaa
Damptey

DATA MIGRATION SPECIALIST 🗃️

Moving critical business data safely between CRM and SaaS platforms. Data moves. Nothing gets lost.

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ABOUT

Data Migration Specialist

Nana Yaa Damptey is a data engineer specialized in data migrations, helping operational agencies in the property and recruitment industry move critical business data safely between CRM and SaaS platforms. Migration work spans more than 50 projects, backed by SQL and Python scripts and ETL workflows built for zero data loss during complex transitions.

Core expertise spans Python and SQL and its dialects, including MySQL, T-SQL and Postgres, alongside modern data tooling like DuckDB and SQLMesh. Every project is backed by rigorous validation practices that catch discrepancies before they become costly problems.

Experience

Feb 2026 — Present

Data Migration Specialist

Dwelly · Hybrid

Sep 2023 — Feb 2026

Data Migration Specialist

DataMigrator · Remote

Skills

Languages & SQL dialects

Python SQL MySQL T-SQL Postgres

Data engines & tooling

DuckDB SQLMesh

Practice

ETL Data Integration Data Mapping Data Validation + more

Migration workflow

Tap a step for details

01 Extract 02 Cleanse & transform 03 Track changes 06 Go live 05 Test & validate 04 Map fields

Legacy systems I have worked with

RecTech

Bullhorn Vincere Access RDB Seven20 Tracker Avionte JobAdder JobDiva Mindscope CURA Microdec Arithon + more

PropTech

Alto Street Veco Fixflow PayProp SmartInventories + more

Other systems

SharePoint Spreadsheets

PORTFOLIO

Legacy systems I have worked with

⏳ Detailed portfolio pending

Detailed project write-ups are on the way. In the meantime, here's a look at the platforms worked with so far.

RecTech

Bullhorn Vincere Access RDB Seven20 Tracker Avionte JobAdder JobDiva Mindscope CURA Microdec Arithon + more

PropTech

Alto Street Veco Fixflow PayProp SmartInventories + more

Other systems

SharePoint Spreadsheets

CONTACT

Get in touch

Open to conversations about data migration work, SQL and ETL problems, or mentoring in data.