Chapter:
Engineering
Mission statement
The Engineering chapter embraces the role of empowering our clients to revolutionise their business through data management, cloud infrastructure, and streamlined development operations to drive efficiency and innovation.
We bring together clients and a pool of specialists to gain an understanding of our clients' challenges, effectively translating them into a roadmap encompassing future steps and technical prerequisites. Our goal is to empower organizations with efficient, scalable, and innovative engineering solutions.
What we do
The Engineering chapter offers a range of services to help our clients to deliver scalable solutions to their business. Our services are designed to support you at every stage of the development process, from design and prototyping to deployment.
The services we offer include:
01 Data and cloud engineering services:
Our data engineering services encompass data ingestion, transformation, and storage to ensure efficient and scalable data processing. We design and build robust data pipelines, perform data cleansing and validation, and implement advanced data integration techniques for comprehensive analytics and reporting.
02 Data warehousing and analytics:
We assist clients in designing and implementing data warehousing solutions to centralize and organize their data. By leveraging platforms like Amazon Redshift, Google BigQuery, or Snowflake, we enable efficient data storage, retrieval, and advanced analytics for data-driven decision making.
03 DevOps consulting:
Our DevOps consulting services enable organizations to streamline their software development and deployment processes. We assist in implementing Continuous Integration/Continuous Delivery (CI/CD) pipelines, infrastructure as code (IaC) practices, and automated testing frameworks. Our approach ensures faster time-to-market and improved software quality.
04 Infrastructure as Code (IaC):
We offer expertise in implementing IaC principles using tools like Terraform, AWS CloudFormation, or Azure Resource Manager (ARM). By defining infrastructure in code, we enable reproducibility, scalability, and version control for managing cloud resources efficiently.
05 Containerization and orchestration:
Our team has expertise in containerization technologies like Docker and container orchestration platforms like Kubernetes. We help clients containerize their applications, achieve scalability and portability, and manage complex microservices architectures.
06 Infrastructure optimization:
We conduct infrastructure assessments to identify opportunities for optimizing cloud resources and reducing costs. Our team provides recommendations for rightsizing instances, optimizing storage, implementing serverless architectures, and leveraging cost-effective solutions.
07 Security and compliance:
Our chapter helps clients establish robust security and compliance frameworks in their engineering practices. We implement security measures like encryption, access controls, and vulnerability scanning. We also assist in achieving compliance with industry standards such as GDPR or HIPAA.
Success stories
Meet the
chapter leads
Daniel Glidden
Engineering Chapter Lead
Daniel is a seasoned data and engineering professional with over 15 years of experience in designing, building, and deploying large-scale solutions for various industries. With his expertise in data architecture, cloud computing, and application development, Daniel has successfully delivered complex projects that help businesses make informed decisions based on data-driven insights. As a chapter lead, he has a strong track record of mentoring and leading teams of engineers to build robust and scalable infrastructure, applications, and solutions. Daniel’s specialties include cloud computing, distributed systems, data warehousing, data modelling, and data governance.
Want to be a part of the team?
Join us
Apply
for our roles
