Data and Software Migration

At some point companies need to change the data platforms they are using. For example they are facing performance issues and need to scale up their database. Also for many clients its important to get rid of their on-premise infrastructure and moving into the cloud to save costs. Also there are reasons to swap the database or software to Microsoft or AWS as the company is becoming partner of either one of them. That means also you need to switch the data integration tool, for example from SSIS to Azure Data Factory.

Migrate your Integration Tool

There are several tools on the market for data integration. I can support you in migrating between the following tools: DBT (Data Build Tool), SSIS, Azure Data Factory and Apache Airflow.

Database migration

I can support your company migrate from one to the other of these database: Snowflake, MS SQL Server, Azure Database, Amazon Redshift and Google BigQuery.

Database to File Storage

Migrate your data to filesystems like AWS S3, Google Storage or Azure Blob Storage. From here I can implement a connection to Databricks or Amazon Athena.

File Storage to Database

It’s still best practice to have you data stored in a database as it’s more reliable and has the best data handling and transformation capacities. Migrate your files into a Database on an incremental basis to feed your corresponding data model.

Contact me

With my proven methodologies and deep understanding of database technologies, I have helped numerous clients achieve significant improvements in data pipeline performance. My success stories span across MS SQL Server, Amazon Redshift, and Snowflake, demonstrating my ability to optimize databases on diverse platforms.

When you choose my Database Optimization Services, you can expect a customized approach that aligns with your specific business needs. I work closely with you to understand your data pipeline requirements and objectives, tailoring our optimizations to deliver measurable results.

What clients say

Nicolay knows the ins and outs of the modern data engineering stack. His expertise would help any organisation looking to build scalable and reliable data pipelines.

— Ishaan Varshney,
Head of Engineering @ SellerX

Nicolay is eager to learn and develop on a professional level. It was great working with him.

— Benjamin Kettner,
CTO @ ML!PA Consulting GmbH

I was working with Nico back at University as his supervisor and ever since followed his path into IT and Data Engineering… an ambitious learner and self-driven man, very reliable and good to hang out with! Recommended!

— Angelika Schmid,
Lead for Data & AI @ Accenture

Herr Königsmark hat unser Unternehmen bei der Erstellung eines kundenspezifischen Datenreports unterstützt. Dabei war er stets leistungsbereit und engagiert, hat gut Vorschläge eingebracht und hervorragende Ergebnisse geliefert. Die Kommunikation verlief immer rasch und freundlich mit allen Projektteilnehmern. Nach erfolgreichem Projektabschluss danken wir für die gute Zusammenarbeit und wünschen Ihm weiterhin alles Gute.

— Holger Teichmann, Wiesheu GmbH

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