Mahesh Kumar

About Mahesh Kumar

As a Backend Engineer with 5+ years of experience, I specialize in building scalable data-driven SaaS platforms and optimizing system performance for enterprise-scale applications. I thrive on solving complex backend challenges, automating workflows, and designing systems that deliver measurable impact.Architected the “Generate Workflow Automation Platform” to auto-generate configurable data pipelines, cutting processing time by 50–60%. Applied Creational Design Patterns and multithreading for scalable, high-performance execution. Delivered a multi-tenant Process Configuration Module enabling reusable client templates and faster onboarding, owning the full lifecycle from design to deployment.At Infor (formerly Albanero), I played a key role in developing a Data Mesh platform and implementing Delta Lakehouse architecture, improving performance by 30% and boosting data quality by 40%. My expertise lies in Python, Flask, PySpark, Kafka, MongoDB, AWS, and microservices, with a focus on distributed, event-driven systems and data orchestration at scale.Key Highlights:Built real-time ETL pipelines using Spark Streaming + Kafka, enabling 1TB+ cloud data migration.Automated validation and transformation workflows, reducing manual intervention by 80%.Mentored junior developers, driving code quality and Agile delivery.Integrated Redis caching and event-driven workflows, cutting response latency by 10×.I’m passionate about system design, scalable architectures, and mentoring engineers to think in terms of efficiency, reliability, and impact. Beyond work, I continuously upskill through Scaler, open-source projects, and exploring cloud-native and distributed systems.Let’s connect to discuss data infrastructure, workflow automation, or scalable backend systems.

Experience

1. Software Engineer Python Developer

   Infor

   Jul 2024 — Present · Hyderabad, IN

   Designed and implemented a “Generate Workflow” feature enabling consultants to auto-configure data pipelines with pre-selected nodes based on chosen processes.‣ Automated complete workflow stages — data extraction, multi-table joins, transformation, and target-system loading (transform → prepare → load), significantly accelerating file processing.‣ Built a Process Configuration Module allowing dynamic setup and modification of workflows per client requirements, supporting flexible and reusable configurations.‣ Enabled consultants to reduce manual setup effort by 50–60%, enhancing consistency and productivity across multiple client implementations.‣ Architected the feature for multi-tenant reusability, making it scalable and adaptable across projects without exclusive dependencies.

Education

• Netaji Subhash Engineering College

  B.Tech, Information Technology

  2015 — 2019