Hello, I am
Shloka Jaywant
Backend, Cloud & Data Platform Engineer
I build distributed backend systems
and cloud-based data pipelines for
high-volume production workloads.
5+ years experience building and operating backend services, production systems and AWS-native pipelines that handle sustained load, evolving data requirements, and real-world failure conditions, across multiple customer-facing products.
2M+
Real-Time Events
handled daily
handled daily
Terrabytes
Of Data processed
across pipelines
across pipelines
5+ Years
Engineering Reliable
Software Products
Software Products
Focus Areas
What I build.
Serverless Data Pipelines
End-to-end data ingestion and transformation on AWS — Lambda, Kinesis Firehose, S3, Glue, and Athena working together to move raw events into queryable, structured data at scale.
Distributed Backend Systems
High-throughput APIs and event-driven backends designed for reliability under load. Failure modes planned from day one, not bolted on after the first incident.
Data Platform Architecture
Designing the storage, processing, and access layers that let data consumers — analysts, ML teams, product — actually trust the numbers they're looking at.
Cloud Infrastructure & Cost Engineering
Infrastructure that's right-sized for the workload, not over-provisioned for comfort. Trade-offs between serverless and containerised, between cost and latency, documented and defensible.
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About
Experience, systems thinking, and technical depth.
A sharper version of the resume: architecture ownership, scale handled, engineering approach, and the way I work across teams.
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Blog
Technical writing on AWS, backend systems, and data engineering.
Structured writing designed to show depth in serverless architecture, ETL systems, distributed backends, and system design trade-offs.
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Contact
For backend, cloud, and data platform opportunities.
A direct way to reach out for senior engineering roles, technical conversations, or recruiter outreach with relevant context.
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