Architect with 17 years of experience in designing scalable, low-latency systems for Tier-1 retail platforms. Expertise in distributed data platforms and large-scale big data applications utilizing Apache Spark and production-level GenAI solutions. Demonstrated success in architecting resilient, event-driven systems and leading engineering teams exceeding 50 members. Proficient in system scalability, performance optimization, and delivering effective solutions.
Big Data & Data Engineering:
Apache Spark, BigQuery, Apache Airflow, Apache Kafka, GCP
Cloud Platforms:
GCP, Azure, WCNP, OneOps
Architecture & Systems Design:
Microservices, Event-driven architecture, RESTful APIs, graphQL, SOA
Data Storage & Retrieval:
Cassandra, Cosmos DB, Elasticsearch, Meghacache
Programming Languages:
Java, Python
LLM
openAI, openAI-realtime Llama, gemini
Extensive experience leading cross-functional engineering teams, driving technical vision, mentoring senior engineers, and scaling organizational capabilities through effective hiring and team development., Deep expertise in building and optimizing large-scale data platforms using technologies such as Apache Spark, BigQuery, GCP (Google Cloud Platform), Apache Airflow, and Apache Kafka., Architected resilient, scalable systems leveraging microservices, event-driven architecture, RESTful APIs, and service-oriented architecture (SOA)., Designed and deployed solutions across major cloud platforms including Azure, GCP, WCNP, and OneOps, with a focus on high availability, cost optimization, and performance., Proficient in modern data storage and retrieval systems including Cassandra 4.x, Cosmos DB, Elasticsearch, and Meghacache, supporting high-throughput applications., Advanced proficiency in Java and Python; extensive experience with enterprise frameworks such as Spring Boot, Spring Cloud, Spring Web, and Spark.