About CandorLogic

A senior-led data engineering company for AWS and Databricks. Trusted data. Intelligent everything.

About CandorLogic

A senior-led data and AI engineering company

CandorLogic helps organizations build data and AI platforms on AWS and Databricks that people can trust: correct, governed, affordable and easy to run.

The company was founded by an engineering leader with more than two decades of experience building and running data platforms and engineering teams, including in healthcare, property data and other regulated, data-intensive industries. That experience shapes how we work: production first, clear trade-offs, and a strong bias for leaving teams more capable than we found them.

Our name is our working style. Candor means we tell you plainly what will work, what will not and what it will cost. Logic means every recommendation is backed by evidence: measurements, tests and documented trade-offs. Together they lead to our promise: Trusted data. Intelligent everything.

At a glance

  • Focus: AWS and Databricks data engineering
  • Services: platforms, migration, governance, streaming, AI-ready data, cost
  • Way of working: small senior teams, everything as code
  • Contact: info@candorlogic.com
What we believe

Principles behind every engagement

Correct before clever

A simple pipeline that is right every day beats an elegant one that is right most days.

Write it down

Decisions, trade-offs and runbooks are documented, so knowledge does not leave with people.

Measure it

Reliability, freshness, quality and cost are tracked as numbers, not opinions.

Hand it over

We judge our work by how well your team runs the platform after we step back.

How we work with you

Small, senior and in your tools

Embedded with your team

We work in your repositories, accounts and chat channels, pair with your engineers and join your rituals.

Everything as code

Infrastructure, pipelines, permissions and tests live in version control and deploy through CI/CD.

Vendor-neutral advice

We recommend AWS-native services, Databricks or open source based on the workload, never on a quota.

Technology

The stack we know deeply

  • Amazon S3 & S3 Tables
  • AWS Glue
  • Amazon EMR
  • Amazon Athena
  • Amazon Redshift
  • Amazon Kinesis
  • Amazon MSK
  • AWS Lake Formation
  • Amazon Bedrock
  • Amazon Aurora PostgreSQL
  • Databricks
  • Unity Catalog
  • Lakeflow
  • Databricks SQL
  • Mosaic AI
  • Apache Spark
  • Delta Lake
  • Apache Iceberg
  • Apache Kafka
  • Terraform
  • dbt
  • Apache Airflow
  • Python & SQL

Let’s talk about your data platform

Share where you are and where you want to be. We will reply within one business day.

Contact us