Case Studies

The trading application spanned Windows and Kubernetes with manual deployments and single points of failure.

Remove manual work and build a reliable automated process that satisfies strict security standards.

Designed the full CI/CD flow, built infrastructure as code, added centralized logging and monitoring, and eliminated architectural weak points.

Stable, repeatable deployments across environments with fewer incidents and faster releases.

The legacy platform was being deprecated while many teams were still running production services on it.

Move services to the new system without disrupting production.

Worked with users to understand services on Conga, performed migrations by creating new jobs, configuring them, and handling traffic shifts. Ensured smooth handover and reduced maintenance costs.

Zero downtime, faster migration pace, lower maintenance costs, and clear handover documentation for teams.

Regulated financial environment with complex cloud architecture and high audit scrutiny.

Establish SRE standards and automation across multiple clouds.

Built Terraform and Kubernetes foundations, introduced GitOps and service mesh, and defined shared responsibility with partners.

Faster releases, stable environments, improved observability, and full FINMA compliance.

ML workflows were slow, complex, and heavily regulated.

Streamline infrastructure, improve automation, and satisfy compliance requirements.

Built CI/CD pipelines, automated qualification workflows, authored IaC with AWS CDK, and strengthened security and monitoring.

Reliable production environment, accelerated delivery, and tighter collaboration across teams.

Distributed teams and mixed legacy/new systems caused delivery friction.

Automate release flow and align delivery globally.

Implemented Terraform-based IaC, ArgoCD, and CI/CD pipelines; rolled out Scrum and SAFe for coordination.

Faster delivery, fewer deployment issues, and better cross-team alignment.

Clients needed compliant, scalable data systems across hybrid environments.

Design and implement automated cloud data platforms.

Designed Cloudera/Hortonworks setups, deployed Terraform and Ansible, and supported ETL plus migration workloads.

Stable clusters, simplified operations, and reusable deployment templates.

Legacy systems limited scalability and automation.

Modernize infrastructure and guide stakeholders through cloud adoption.

Planned lift-and-shift and refactoring, built CI/CD, implemented governance and IAM, and trained internal teams.

Stable AWS platform, shorter deployment cycles, and clear ownership boundaries.

High load with strict SLAs on big-data processing.

Deliver a fast, resilient data platform with automation.

Designed the architecture, implemented CI/CD and monitoring, and shared best practices via community sessions.

High performance under load, predictable deployments, and strong team alignment.

Telecom BI systems demanded zero downtime and rigorous data protection.

Ensure availability and automate platform management.

Built HA architecture, automated backups and maintenance, and trained BI/ETL teams.

Reduced downtime, better performance, and consistent operations.

Manufacturing company faced growing IT needs with limited resources.

Create a stable infrastructure and introduce quality management.

Built private cloud and disaster recovery; applied Lean and TQM to IT operations.

Reliable systems, fewer failures, and measurable improvements in IT service quality.

Large data workloads required a secure, repeatable cloud setup.

Build infrastructure as code with automation and security controls.

Created Terraform and Ansible deployments and defined delivery workflows.

Rapid provisioning, consistent environments, and readiness for scale.

Massive data volumes with strict latency targets.

Build a reliable, high-performance search engine from proof-of-concept to production.

Designed Azure architecture, implemented Terraform automation, and tuned Elasticsearch queries.

Fast response times, scalable production system, and a repeatable CI/CD process.