PHP · Go · MySQL · Elasticsearch

Custom Data Pipeline Development

I build data pipelines: extract from APIs, databases or files, transform and clean the data, and load it where you need it — usually Elasticsearch, MySQL or S3. Built to handle volume and to be observable.

Problems

What I Can Help With

Build ETL/import/transform/export pipelines for large datasets.

Symptoms

Typical Problems

multiple source systems schema drift large-volume transforms incremental vs full loads observability reliable scheduling
Track Record

Relevant Experience

Built ETL pipelines for Cenoskop ingesting product data from 500+ sources, transforming and normalizing it, then loading into Elasticsearch and MySQL. Handles millions of records daily with schema validation and error recovery.

Scope

What Is Included

source extraction
transformation logic
validation layer
load strategy
monitoring/retries
documentation
Process

How It Works

We define sources/targets and SLA, build the pipeline with validation and monitoring, and run a first load. From €2,000.

Pricing

Starting from €2,000

Pipeline for a primary source/target pair.

FAQ

Frequently Asked Questions

How do you handle schema drift?

I version and validate schemas at the extraction boundary, and alert on drift rather than failing silently.

More

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Selected Work

Systems I've Built

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Built and maintain the full crawling pipeline — from scraping through Elasticsearch indexing to price comparison.

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Built the data pipeline and crawling infrastructure for large-scale US product monitoring.

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Designed and built the backend for fast traffic metric collection and evaluation.

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Built the Go backend — API, matching logic and deployment.

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Built the backend and encryption layer for a secure chat application.

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DNS Security

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Contact

Not sure what's wrong?

Write what's happening and paste anything relevant — errors, logs, metrics. I'll have a look and tell you what I think.

Discuss a data pipeline project