I will review and improve your data specification document

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ETL Developer Business Analyst

I specialise in insurance data and am a Certified Guidewire DataHub and InfoCenter Specialist. With 5+ years across P&C Insurance and BFSI, I build and optimise ETL pipelines that power policy, claims...
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Is your data spec document a mess? Missing transformation logic, vague field descriptions, or gaps your developers keep asking about?

I'll review your data specification or source-to-target mapping document and give you a clear, actionable improvement report written by someone who has built and reviewed data specs at PricewaterhouseCoopers (PwC), EY, and TCS on enterprise insurance and banking programmes.

WHO THIS IS FOR:

    Business Analysts who need their specs QA'd before handing to developers

    Data engineers who inherited a poorly written spec and need it fixed

    Project managers whose dev and BA teams keep arguing over what a field means

    Consultants who need a second opinion before presenting to a client

    Anyone building a data warehouse, ETL pipeline, or data migration project

WHAT I WILL REVIEW:

    Source-to-target field mappings completeness, accuracy, and clarity

    Transformation logic is it specific enough for a developer to implement?

    Data types, NULL handling, and default value definitions

    Primary key, foreign key, and SCD type annotations

    Business rule descriptions are they unambiguous?

    Load strategy documentation full load vs incrementa

Dokumenttyp:

Dokumentation

Technische Spezifikationen

Branche:

Business & Finanzen

Sprache:

Englisch

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