Thinklytics

AWS Data Consulting

AWS data and analytics consulting. Redshift architecture, AWS Glue pipelines, SageMaker, and AWS native analytics modernization for enterprise teams.

Topics

  • AWS analytics consulting
  • Amazon Redshift consulting
  • AWS Glue
  • SageMaker consulting
  • AWS Lake Formation
  • AWS data engineering
  • AWS partner

Start with the 30-day Analytics Truth Audit.

Yes. We work across the full AWS data and analytics stack including Redshift, Glue, SageMaker, Lake Formation, Kinesis, and QuickSight. We design architectures that use the right AWS service for each workload rather than forcing everything through a single tool.

Yes. Redshift performance issues are almost always caused by poor distribution keys, sort keys, or query patterns. We audit your Redshift environment, identify the root causes of performance problems, and implement fixes that typically reduce query times by 50 to 80 percent.

We audit your AWS data environment to identify idle resources, over-provisioned clusters, and inefficient data transfer patterns. Most organizations can reduce AWS data costs by 20 to 40 percent without reducing capability.

Yes. We design and implement SageMaker pipelines for model training, evaluation, and deployment. We also integrate SageMaker with your existing data infrastructure so models have access to clean, governed training data.

AWS data and analytics consulting: Redshift architecture, Glue pipelines, SageMaker ML, and Lake Formation governance. Senior-led engagements.

The governed data layer we build on top of your AWS data services.

We set up AWS data stacks using Redshift, Glue, SageMaker, and Lake Formation. Everything we build is production-ready from day one, no sketchy proofs of concept slipping through.

We take care of it all. From drawing up the plan to launching it live.

We build data warehouses that scale with you. No fuss with servers or infrastructure. Just smooth growth as your data piles up.

We create serverless ETL pipelines that automatically track data lineage and include their own data catalog.

We take care of it all. From cleaning up your data to launching your machine learning models and keeping them running smoothly.

We’ll help you build one central data lake. You get to decide exactly who sees what, right down to the tiniest detail.

Thinking about building on AWS? Let’s roll up our sleeves and get it done.

First up, we do a 30-day Analytics Truth Audit. We dive into your AWS setup and get a real feel for what’s clicking and what’s broken. After that, we map out a simple 90-day plan to get you headed the right way.

Thinklytics

Data and AI consulting for Fortune 500s, health systems, and growth-stage companies. Clean data, governed metrics, analytics ready for AI.

Austin, TX · United States

[email protected]