Experienced Engineering Manager with a good track record of managing and delivering end-to-end software development and delivery for enterprise and cloud applications in an agile fashion. Best in defining the roadmap, as well as leading the engineering team to produce high-quality products. Experience in building scalable, resilient, performant, and highly available distributed systems. Performance tuning to increase throughput to scale to millions of heavy payload transactions a day.  Managed and Delivered On-Prem, Cloud & Hybrid solutions with Agile methodology.  Customer-focused, powerful decision-maker, influencer, forceful, and risk-taker.  Passionate technical and people manager with team performance management expertise. With inspiring communication, delegating, empowerment, and mentoring abilities led a huge team of 10 engineers.  Strong technical and analytical skills, as well as a strong capacity to solve problems.  Good in translating the requirements into user stories and building high-level architecture and design. Fundamentals --------------- Data structures, algorithms, design & Architecture principles/patterns. Tech Stack ----------- Cloud - Good exposure in AWS & Azure. Orchestration - Airflow & Jenkins. Big Data - YARN, Hadoop Map Reduce, Hadoop, Spark, Flink, HDFS, ZooKeeper, HBase, Pig, Flume, Sqoop, MemCache, Redis. Streaming platforms - Kafka, Azure Bus & AWS Kinesis. Development Frameworks - Spring, Spring-boot, Spring-cloud, Java, Web server technology, Hibernate. Infrastructure - Ansible, Nginx, Loadbalancers, Distributed scaling, HA, Resiliency, Dockers, Kubernetes, CI/CD pipelines, Grafana, Splunk, ELK. Databases - MongoDB, CosmosDB, GraphQL, Cassandra, MongoDB, MySQL, HBase. Search - SOLR/ Lucene, Data Science exposure - Linear / Logistic regression, Clustering/classification algorithms, Neural networks, Deep learning, boosting algorithms in Python.