Deep technical capability.
Applied to real problems.
Core Intellect brings hands-on experience across data engineering, cloud infrastructure, platform engineering, distributed systems, automation and operational engineering.
We organise our expertise into functional engineering capability areas. Our primary cloud depth is AWS, coupled with modern data platforms and distributed compute.
Cloud Engineering
Hands-on cloud architecture and engineering with deep focus on Amazon Web Services (AWS), designing resilient infrastructure with disciplined resource usage.
- AWS S3
- AWS Lambda
- AWS Glue
- AWS EMR
- Amazon DynamoDB
- Amazon ECS & EKS
- Amazon Athena
- AWS Step Functions
- IAM & Security
- VPC & Networking
- Route 53 & ELB
- SSM & Secrets Manager
Data Platforms & Distributed Systems
Designing, building, and modernising cloud data platforms, warehouses, and high-throughput ingestion pipelines.
- Snowflake
- dbt (data build tool)
- Apache Spark & PySpark
- Apache Airflow
- Apache Kafka
- Hadoop & Hive
- HBase
- Greenplum
Platform, DevOps & Infrastructure as Code
Building reproducible, declarative infrastructure and automated continuous integration and delivery pipelines.
- Kubernetes (CKA / CKAD)
- Docker
- Terraform
- AWS CloudFormation
- Ansible
- Chef
- Jenkins & Bamboo
- Buildkite
Programming & Engineering Languages
Production software engineering with robust error handling, maintainability and performance discipline.
- Python
- SQL
- Java
- Scala
- Ruby
- Groovy
Databases & Data Stores
Selecting and tuning data stores based on access patterns, concurrency models, and consistency requirements.
- PostgreSQL
- MySQL
- Amazon DynamoDB
- Redis
- Elasticsearch
- Apache Geode / GemFire
Observability & Operational Engineering
Translating production logs, metrics, and traces into actionable signals for architecture and reliability improvement.
- Datadog
- Sumo Logic
- Data Quality Frameworks
- Operational Telemetry
Emerging Technology & Pragmatic AI
Core Intellect continues to explore emerging technologies, including AI, with a focus on practical applications in engineering, automation, data workflows and operational decision-making.
AI is treated as an evolving capability rather than a standalone service offering.
Have a question about an architecture or technology stack?
Let's evaluate your technical requirements and operational constraints together.