What It's Like to
Work With Me.
Insights from people I've collaborated with across engineering, data, and technical leadership.
I'm Ayan Chakraborty, a Data Architect with 14+ years of experience building and leading mission-critical data platforms. I work across architecture, cloud, AI, and engineering leadership to turn complex data problems into systems that perform in the real world.
I bring 14+ years of hands-on experience across data architecture, cloud platforms, AI, and engineering leadership, helping teams make better technical decisions and build systems that are ready to scale.
Designing data platforms that are scalable, reliable, and built around how teams actually work.
01Building and modernizing cloud data platforms across AWS, GCP, Databricks, and Snowflake.
02Turning AI ambitions into production systems with the right data, infrastructure, and engineering foundations.
03Embedding security, access, compliance, and governance into the architecture from the start.
04Finding inefficiencies across infrastructure and workloads — and turning them into measurable improvements.
05Leading engineering teams through complex decisions, better practices, and production delivery.
06Built Across Industries
Lower Cloud Spend
Optimize infrastructure and resources to reduce cloud overhead.
Faster Data Decisions
Create reliable pipelines and accessible data that teams can actually trust.
Less Engineering Friction
Reduce operational complexity so engineers can focus on solving meaningful problems.
Stronger Reliability
Build systems designed to remain dependable as workloads, teams, and data grow.
Room to Scale
Create foundations that support the next stage of the business, not just today's requirements.
From Strategy to Systems That Work.
I work alongside teams to turn complex data challenges into clear architecture, practical engineering decisions, and systems that are built to perform in production.

I'm Ayan Chakraborty, a Data Architect with 14+ years of experience designing and building data systems at scale. Over the years, I've worked across data engineering, cloud platforms, optimization, security, and AI, learning that great architecture is as much about the decisions behind the system as the technology itself.
























Insights from people I've collaborated with across engineering, data, and technical leadership.
What type of companies do you work with?
I partner with enterprises looking to scale their data architecture, startups building from the ground up, and companies seeking to optimize their cloud data costs and operational efficiency.
What are your core areas of expertise?
My expertise spans Cloud Data Engineering, Data Architecture, Modern Data Stack implementations, Cost Optimization, and building robust, scalable data platforms.
Do you provide end-to-end implementation or just consulting?
Both. Depending on the engagement, I can act as an advisory Fractional Data Architect or work hands-on with your team to deliver end-to-end implementations.
How can you help reduce cloud data costs?
I analyze your current architecture and pipelines to identify inefficiencies, optimize compute and storage usage, implement better data modeling, and introduce performance tuning to significantly cut costs.
Do you offer training or upskilling for corporate teams?
Yes, I provide corporate training and mentorship for engineering teams, helping them build strong fundamentals, adopt architectural thinking, and elevate their capabilities to maintain the systems we build.