Modern data platform consulting for growing companies. I uncover risks in the stack you already run—or design and build a production-ready platform on AWS and Snowflake from the ground up. Two focused services backed by 12+ years of enterprise engineering experience.
Costs keep rising. Pipelines fail unexpectedly. Stakeholders lose trust before your alerts fire. Or the one engineer who understands everything is about to leave.
You have data sources and a clear goal, but no one on the team who's designed and shipped a production-grade data platform before.
I audit modern data platforms end to end—from ingestion to the warehouse. Rather than claiming expertise in everything, I go deep on the technologies I know best. Every finding ties back to cost, reliability, security, or operational risk.
Every platform is different. I also audit AWS-native stacks (Redshift, EMR, Glue) just as often. The tools matter less than the patterns—ingestion reliability, transformation quality, orchestration discipline, and the observability that catches failures before your stakeholders do.
A handful of focused hours, not a sprawling retainer. We agree the scope and a cap before I start. Take the report and implement it yourself, or bring me back to fix the highest-impact issues.
StackAudit gives you a structured risk report for your modern data stack in under a minute — cost traps, reliability gaps, scale limits, and the anti-patterns specific to your tools. An instant, automated first pass on the same questions my full audit digs into. Free, opinionated, and a fair sample of how I think about risk.
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For growing companies building a modern data platform without an in-house architect. I turn your requirements—data sources, scale, compliance, budget, and team capability—into a production-ready architecture, then build it end to end. I make the important decisions before the first line of code is written.
Some platforms rely on batch pipelines, others on streaming, event-driven architectures, or a combination of both. I choose technologies based on operational needs, team capability, and long-term maintainability—not because they're fashionable.
Build engagements run over weeks or months, not hours. I take on a limited number at a time so each project gets full attention. Architecture decisions happen upfront, with phased delivery and clear milestones throughout.
Based in Bengaluru, India — overlapping hours with US clients agreed upfront.
Not ready to hire yet? Start with DataFoundry. Answer a few questions about your requirements and get a recommended architecture, technology stack, cost estimate, and implementation plan—for free. It's the same architecture-first thinking I use in consulting, packaged as a self-service tool. When you're ready to build it in production, that is exactly what the build service above is for.
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Whether it's an audit or a build: scope and budget agreed before I start, findings or code delivered in writing, and everything you need to operate independently at handoff.
Concrete results from real engagements across Snowflake, AWS, and dbt stacks.
I'm Supreeth M Gowda — a data platform consultant who has spent 12+ years building production data systems at Sonos, Meredith, Amazon, and Mindera. Most of that time was on small teams where I owned problems end to end: from designing the ingestion architecture to finding out why it broke at 3am. That's the background I bring to every engagement.
Encore is deliberately solo. You get a senior engineer hands-on with your problem — not a sales call followed by a junior doing the actual work. My depth is pipeline architecture: tool selection, orchestration, CI/CD, and the observability that catches failures before your stakeholders do. If the ask is dimensional modeling or schema design, I'll say so upfront — not after you've paid for it.
Articles on architecture, reliability, performance, and the engineering decisions behind modern data platforms.
Read all posts on the blog →Whether you're fixing what's already running or building from scratch, let's talk. A 30-minute scoping call — no pitch, just an honest read on what it would take.
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