Jayanth Banakar

About Jayanth Banakar

Senior Full Stack Developerwith 8+ years of experience building scalable enterprise applications and e-commerce platforms that serve millions of users daily.What I Bring to the Table:Frontend Excellence: React.js, Angular (2-15), Next.js, TypeScript - Creating seamless user experiencesBackend Mastery: Java Spring Boot, Node.js, RESTful APIs, Microservices - Building robust enterprise solutionsCloud & DevOps: AWS (EC2, S3, Lambda, RDS), Docker, Kubernetes - Scalable cloud-native applicationsDatabase Expertise: MySQL, MongoDB, Performance Optimization - Data-driven application developmentRecent Achievements:Led development of e-commerce platform at Lowe\'s handling 1M+ daily transactions with 99.9% uptimeArchitected microservices that improved application performance by 40%Mentored 5+ junior developers and created reusable component libraries improving team efficiency by 50%Implemented CI/CD pipelines reducing deployment time and ensuring 90%+ code coverageCurrently Working On- Microservices architecture with Spring Boot- Advanced React.js with server-side rendering- Cloud-native application development- Performance optimization and scalability solutionsAlways excited to connect with fellow developers, tech leaders, and companies building innovative solutions!#FullStackDeveloper#ReactJS#Angular#SpringBoot#JavaScript #AWS#Microservices#TechLeadership

Experience

1. Senior Data Engineer

   Lowe's Companies, Inc.

   Oct 2023 — Present · Lowe\'s, NC, US

   Architected and implemented high-performance real-time data streaming platforms using Apache Kafka and Apache Flink, processing 10TB+ of daily automotive sensor data with 99.9% reliability, enabling real-time vehicle performance monitoring and predictive maintenance.• Spearheaded the design and implementation of a hybrid cloud data integration platform leveraging both Azure and AWS, modernizing logistics and supply chain data flows.• Led the architecture and deployment of a modern Azure-based data integration platform to unify real-time and batch data streams across logistics, supply chain, and IoT telemetry systems, fully replacing legacy ETL tools with cloud-native pipelines.• Defined and implemented a layered Azure Data Lake architecture (ADLS Gen2) with bronze, silver, and gold zones, incorporating lifecycle policies, hierarchical namespace for efficient querying, and cost-aware storage tiering (hot, cool, archive).• Built reusable ingestion pipelines using Azure Data Factory (ADF) and parameterized JSON/YAML templates, enabling rapid onboarding of 20+ internal and external data sources, including CSV/Parquet files, REST APIs, and Event Hubs.• Automated pipeline generation using metadata-driven control tables, reducing development effort by 50%, and enabling self-service onboarding by non-engineering teams.• Designed and deployed real-time ingestion frameworks using Azure Event Hub and Azure Stream Analytics, capturing IoT signals from warehouse sensors, RFID scanners, and vehicle telemetry systems with sub-second processing latency.• Integrated end-to-end message processing logic including checkpointing, offset tracking, deduplication, and idempotent processing using Azure Functions and Python microservices.• Developed advanced transformation layers in Azure Databricks using PySpark, applying business logic like SCD Type-2, CDC, late-arrival reconciliation, schema drift tolerance, and timezone harmonization across multi-source event data.

Education

• Texas A&M University-San Antonio

  Master's Degree, Computer Science

• CMR Institute Of Technology

  Bachelor's degree, Electronics and Communication Engineering