IT Consulting
Strategic advisory and technical direction for teams navigating architecture, platform, and modernization decisions.
Common problems solved
- Unclear technical roadmap across legacy and modern systems
- Delivery misalignment between engineering and business priorities
- Architecture decisions that are difficult to operationalize
Technologies: Node.js, Java, Python, REST APIs, architecture review frameworks
Outcomes: Clear execution plans, reduced technical risk, and stronger platform direction.
Data & Pipeline Engineering
Design and delivery of robust data pipelines that support analytics, operational reporting, and dependable data availability.
Common problems solved
- Fragile ETL jobs and unreliable downstream reporting
- Slow data movement between operational systems and warehouses
- Limited visibility into data quality and lineage
Technologies: Kafka, Spark, Airflow, dbt, SQL, cloud-native data services
Outcomes: Reliable pipelines, cleaner datasets, and faster analytics cycles.
Cloud & DevOps Architecture
Cloud platform design that balances scalability, cost control, security posture, and operational simplicity.
Common problems solved
- Inconsistent environments and painful release processes
- Unpredictable cloud spend and resource sprawl
- Gaps in reliability, monitoring, and incident readiness
Technologies: AWS, Azure, GCP, Terraform, Docker, Kubernetes, CI/CD pipelines
Outcomes: Stable deployments, better observability, and resilient cloud foundations.
Event-Driven Systems / Kafka
Event-streaming architectures that enable real-time integrations, asynchronous workflows, and scalable service communication.
Common problems solved
- Tight service coupling slowing feature delivery
- Delayed data propagation across critical systems
- Difficulty scaling integrations and event consumers safely
Technologies: Apache Kafka, Kafka Connect, Schema Registry, stream processing frameworks
Outcomes: Real-time data flow, cleaner integration boundaries, and scalable event infrastructure.
Custom Software Development
Purpose-built applications and backend systems designed for performance, reliability, and maintainable growth.
Common problems solved
- Critical workflows unsupported by off-the-shelf tools
- Legacy applications that are costly to maintain and evolve
- Need for secure, scalable APIs and internal platforms
Technologies: Node.js, JavaScript/TypeScript, SQL/NoSQL, cloud-native services
Outcomes: Fit-for-purpose software, faster delivery cycles, and dependable user experiences.