ETL Pipelines That Move Your Data Without Breaking Your Business
Connect any data source to your warehouse, automate syncs, and build a clean, reliable data foundation — so your dashboards and AI tools always work from accurate, current data.
Book a Discovery CallBad Pipelines Are the Root Cause of Every Bad Dashboard
Dashboards nobody trusts
Manual exports. Broken API connections. Three platforms using three different ID formats. ETL pipeline development is what turns this chaos into reliable, trusted data — but when it's done wrong, the dashboard shows numbers nobody acts on.
ETL is the invisible infrastructure
Done right, dashboards refresh automatically, data is consistent across sources, and your team makes decisions off numbers they believe. Done wrong, you chase data quality issues instead of using data.
Open-source — you own it forever
We build on dbt, Airflow, and n8n running on your infrastructure. No per-row pricing, no vendor dependency. We stay on retainer to manage it — no data engineer required on your side.
What We Build
Source-to-Warehouse Pipelines
Extract data from any source — databases, APIs, SaaS tools, spreadsheets, webhooks — and load it into your data warehouse (ClickHouse, PostgreSQL, BigQuery, or Snowflake). We pick the right open-source connector framework for your stack, and build custom extractors for proprietary systems that don't have standard connectors.
Data Transformation & Modeling
Raw data in your warehouse means nothing without a clean data model. We use dbt to transform, clean, and structure your data into analytics-ready tables — consistent definitions, documented lineage, and tested for accuracy before it reaches any dashboard.
Orchestration & Scheduling
Pipelines that run manually aren't pipelines. We set up scheduling and orchestration (Airflow, n8n, or Windmill) so your data syncs happen automatically, failures are alerted and logged, and your warehouse is always current without anyone babysitting it.
How an ETL Engagement Works
Discovery & Audit
We audit your current data sources, document what exists where, and define the target state — what data needs to land where, at what frequency, and in what shape.
Architecture Design
We design the pipeline architecture: which extraction tool fits your sources, what the data model looks like in the warehouse, and how orchestration will be handled. You review and approve before we write a line of code.
Pipeline Build
We build the extraction connections, write the dbt transformation models, and configure orchestration. Every component is version-controlled and documented.
Testing & Validation
We validate data accuracy against source systems, run dbt tests for null checks and referential integrity, and verify pipeline performance under realistic load.
Deployment & Ongoing Management
We deploy to your infrastructure, configure monitoring and alerting, and stay on retainer to handle maintenance, source system changes, and new connectors as your data needs grow. No data engineer required on your end.
Why Work With iKemo for ETL & Data Engineering
Open-source, zero vendor lock-in
We build on open-source tools your team can inspect, fork, and run forever — no per-row pricing, no vendor who can revoke access to your own pipeline. You own the stack regardless of whether you keep us on retainer.
Deployed on your infrastructure
Your pipeline runs on your servers or your cloud account. Credentials stay yours. Data doesn't transit through our platform. You own everything from day one.
We manage it — you use it
Most clients don't have a data engineer in-house. That's fine — we monitor the pipelines, handle source system changes, and add new connectors on retainer. Your team focuses on using the data, not maintaining the plumbing.
Scales with your data volume
ClickHouse handles billions of rows. Airflow handles thousands of tasks. We build for where you're going, not just where you are today.
ETL Pipeline Development — Frequently Asked Questions
What data sources can you connect?
Any source with an API, database access, or file export — Salesforce, HubSpot, Shopify, Stripe, PostgreSQL, MySQL, Google Sheets, S3, BigQuery, and hundreds more. We use open-source connector frameworks with broad coverage, and build custom extractors for proprietary systems that don't have standard connectors.
Do we need a data warehouse first?
Not necessarily. We can set up your warehouse as part of the engagement. For most clients, we recommend ClickHouse for analytical workloads or PostgreSQL for transactional + analytics mixed use. BigQuery works well if you're already in Google Cloud.
Do you manage the pipelines after launch?
Yes — and most clients prefer this. Data pipelines need ongoing attention: source systems update their APIs, schemas change, new data sources get added. We offer managed pipeline retainers where we monitor, maintain, and extend your pipelines so your team never has to worry about them. You focus on using the data; we keep it flowing.
How is this different from using Fivetran or Stitch?
Fivetran and Stitch are solid managed services — if you're already using them, we can build on top. The advantage of an open-source self-hosted stack is cost at scale (no per-row pricing), data sovereignty (your infrastructure, your credentials), and flexibility (custom connectors, custom transformation logic). We'll recommend the right approach for your situation — we're tool-agnostic.
Ready to Build a Data Foundation That Actually Works?
Stop chasing data quality issues. Let's build ETL pipelines that feed your dashboards and AI tools with clean, current, reliable data.
Book a Discovery Call