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I will build etl and data warehouse pipelines with ssis net and clickhouse
NET Backend Architect and SQL Server ETL Expert
I build .NET backends and reliable data platforms, backed by 20 years of engineering experience. Services include C# and ASP.NET Core APIs, SQL Server tuning, SSIS and custom ETL, data integration, an...
Über diesen Service
I build data pipelines and warehouse integrations using SQL Server, SSIS and C#/.NET. My experience includes ClickHouse and StarRocks analytics warehouses, Kafka ingestion, dimensional modelling and Prefect orchestration.
At HellasDirect I designed a multi-country data platform with custom .NET ETL and Kafka ingestion. At BufferMusic I built and operate the ClickHouse warehouse and Prefect pipelines.
BASIC: One simple table load into an existing database: direct mapping, up to 10 columns and basic checks.
STANDARD: One agreed source-to-target table flow, up to five transformation rules, with validation and scripts.
PREMIUM: Up to three related table flows for one source and target, with agreed incremental-load and reconciliation rules.
Contact me before ordering to confirm sources, volumes, mappings and runtime versions. ClickHouse/StarRocks architecture and Kafka streaming require a scoped custom offer. Full platforms, production deployment, licences and ongoing support are excluded. One revision covers the agreed deliverable. Never send credentials or personal customer data.
Datenbanktyp:
Relationale Datenbank
Plattform:
SQL Server
Expertise:
Datenlager
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Design
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SQL
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Performance
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FAQ
Can you help with ClickHouse, StarRocks and Kafka?
Yes. My experience includes ClickHouse/StarRocks analytics platforms, Kafka ingestion and warehouse modelling. Architecture, streaming and broader platform work are scoped separately after reviewing your topology, data volumes and requirements; a full platform is not included in these small ETL pack
How are scope, data validation and revisions handled?
We agree mappings, volumes, transformation rules and acceptance checks before work. Validation can include row counts, keys and reconciliation against expected results. One revision corrects the agreed deliverable; extra sources, tables, rules, deployment or ongoing support need a separate scope.
