Big data processing, millions of rows in Excel, TXT, CSV, JSON, XML

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Service Format

Problem

Data is spread across files with duplicates and manual handling, so reporting stays slow and unreliable.

Solution

I unify sources into one pipeline: cleaning, normalization, enrichment, and export to your target format.

Result

A ready dataset for CRM, analytics, or campaigns without daily manual spreadsheet assembly.

Timeline

After the brief and a sample file, we fix phases: pilot on a subset, then full run on total volume.

Collaboration Format

You send the brief and sample data → we align processing rules → I show a test output → we run full volume.

Start with the brief

How It Works in Practice

When data is spread across many files, business decisions become guesswork. I help you build one trusted data flow.

When This Is Relevant

Reporting is manual and frequently inconsistent with real operations.
Exports contain duplicates, noise, and conflicting formats.
Your team needs faster preparation for CRM, analytics, and marketing.

What I Do in the Project

I unify fragmented sources into a rule-based processing flow.
I implement cleaning, normalization, and enrichment with clear logic.
I deliver target-format exports without post-processing pain.

What You Receive

A clean and structured dataset ready for business use.
A repeatable processing pipeline that scales with volume.
Transparent transformation rules for every output field.

We usually start with a test sample to validate the approach quickly, then apply the same logic to full volume.