Data Engineering Pipelines
I build ingestion and transform flows that are less brittle and easier to keep running.
Data Engineering & Machine Learning Consulting
Data systems and machine learning that hold up in production
I help teams clean up the data layer, keep pipelines reliable, and get models into production without making the stack harder to run.
Services
Services I actually spend time on.
Machine Learning Model Development
I set up training, evaluation, and deployment so the model fits the rest of the stack.
Cloud Data Architecture (AWS / GCP / Azure)
AWS, GCP, or Azure setups that keep security, cost, and operations in view.
ETL / ELT Optimization
ETL and ELT tuning when jobs are slow, flaky, or costing more than they should.
Data Analytics & Dashboards
Reporting layers and dashboards people can use without a walkthrough.
About
Built for teams that need solid systems, not more complexity.
I build and clean up data pipelines, model workflows, and the cloud setup around them. The work is usually about removing friction, tightening the moving parts, and making the output useful.
Data engineering expertise
Machine learning systems
Cloud infrastructure
Scalable architecture
Process
How I usually work.
01
Discovery & Data Review
We look at the stack, the data quality, and where the bottlenecks are.
02
System & Architecture Design
We sketch the structure, pick the tools, and agree on the pattern before building.
03
Implementation & Development
We build the pipelines, models, and support pieces in small, workable chunks.
04
Deployment & Optimization
We launch, watch how it behaves, and tighten things up once it’s in use.
Contact
Email me directly.
For new work, project questions, or a consultation, email me at contact@linxik.com.