Reduce your cloud and infrastructure spend by identifying waste, tuning resources, and implementing efficient architectures.
Design and migrate to open-source or self-hosted solutions to keep your data and stack under your control.
Automate infrastructure and data pipelines for fast, reliable, and repeatable deployments using Terraform, Tofu, and CI/CD.
Analyze and optimize your data queries and storage for maximum speed and efficiency.
Choose the right data architecture and processing model for your business needsâbatch, streaming, or hybrid.
Implement best practices for data privacy, access control, and regulatory compliance.
Set up monitoring, alerting, and dashboards to keep your data platform healthy and transparent.
Explore detailed case studies, performance analyses, and practical solutions from real data platform projects.
How ClickHouse projections reduced query latency from 5-7 seconds to under 150ms while cutting infrastructure costs by 90%.
From ten microservices to one SQL-based streaming pipeline.
How we stopped losing control of Snowflake with YAML and CI/CD.
Breaking free from vendor lock-in with Apache Iceberg.
I'm Amar, a data platform engineer who loves solving tough data challenges and making things run smoother, faster, and cheaper. I work with startups and enterprises to build robust, scalable, and future-proof data systemsâalways with a focus on flexibility and independence.