Meet the Team
Meet the developer and organizer behind Datarn
Suraj Kalbande
Associate Data Architect & Founder
10+ Years | Cloud Data Engineering | Database Optimization | AI Integration
Azure DP-203 Certified | Nagpur, Maharashtra, India
Seasoned Database Professional & Cloud Data Architect with 10+ years of expertise in designing and maintaining scalable data platforms at enterprise scale. Proficient Python developer with deep knowledge of e-commerce and B2B e-commerce ecosystems.
As Associate Data Architect at Amla Commerce (creators of Artifi and Znode), Suraj leads a team of data engineers and architects, driving critical infrastructure decisions for e-commerce solutions. He specializes in aligning technical data solutions with broad business requirements through cross-functional collaboration and strategic architecture design. His expertise directly impacts how millions of transactions flow through modern e-commerce platforms.
E-Commerce & B2B E-Commerce Mastery: Suraj possesses expert-level knowledge of e-commerce ecosystems, including how data flows through every layer—from customer interactions, inventory management, order processing, to payment gateways and logistics. He understands the complexity of B2B e-commerce platforms where data volumes are exponentially higher, multi-tenant architectures are critical, and real-time data synchronization is non-negotiable. His architecture decisions directly optimize customer experiences, reduce transaction latencies, and ensure data integrity at every touchpoint.
His core competency spans cloud data engineering, database optimization, and modern data stack technologies. With certified expertise in Azure Data Engineering (DP-203), Suraj has architected solutions using Azure Data Factory, Azure Databricks, Apache Spark, Azure Synapse Analytics, and Snowflake—handling massive-scale data pipelines that power mission-critical business operations.
Beyond enterprise architecture, Suraj is passionate about performance optimization and recognized the need for a platform combining Python's simplicity with the speed of Rust and Go. This vision led to founding Datarn—an open-source initiative empowering developers with high-performance custom libraries for real-world challenges, especially in data-intensive domains like e-commerce.
Key Highlights
🏪 E-Commerce & B2B Expertise
Deep understanding of end-to-end e-commerce data ecosystems and B2B platforms:
- Data Flow Architecture: Customer journey tracking → Product catalog management → Order processing → Payment integration → Inventory synchronization → Fulfillment logistics
- B2B E-Commerce Complexity: Multi-tenant data isolation, vendor integration, procurement workflows, invoice management, supply chain visibility, and real-time reporting
- Scale Optimization: Handling millions of daily transactions, real-time inventory updates, high-throughput order pipelines, and complex data warehousing for business intelligence
- Data Quality & Integrity: Ensuring transactional consistency, fraud detection, payment reconciliation, and data accuracy across distributed systems
- Modern E-Commerce Tools: Built expertise with platforms like Artifi, Znode, and custom high-performance data solutions
Technical Expertise
Cloud & Data Platforms
Modern Data Stack
Database & Storage Expertise
Big Data & Advanced Technologies
Connect & Learn More
Location: Nagpur, Maharashtra, India | Open to opportunities in Bengaluru (On-site or Hybrid)
Vision & Goals
🎯 Short-term
Establish Datarn as a go-to resource for performance-critical Python libraries. Build a growing collection of tested, production-ready Rust+Python and Go+Python bindings.
📈 Mid-term
Grow a vibrant community of contributors and users. Create comprehensive documentation and educational resources. Establish partnerships with major Python projects.
🚀 Long-term
Make Datarn the standard solution for Python performance optimization. Create an ecosystem where developers can seamlessly combine languages to build faster, safer applications.
Join the Datarn Community
Whether you're a developer, contributor, or just curious about high-performance Python—we'd love to have you on board!