About

Amit Tomar is a seasoned technology leader with over 16 years of experience in software development and data engineering. He has a strong foundation in computer science and is skilled in data structures, algorithms, and software design. With a focus on system architecture, reliability, and scalability, Amit has extensive experience in distributed systems and is adept at improving process and code quality. Amit is a problem solver and an innovative thinker who excels at building and inspiring teams. He has a proven track record in recruitment and team building, creativity, cost optimization, time management, and persistence. He is well-versed in Agile methodology and is resilient in the face of challenges. Amit has deep technical expertise in IoT applications and a thorough understanding of distributed systems. He has worked with NoSQL databases like Cassandra, HBase, MongoDB, Redis, Memcache, Neo4j, and RDBMS like MySQL, SQL-Server, Oracle, and PostGreSql. He is also experienced in Big Data tools like Spark, Hadoop, Oozie, Apache Kafka, Lambda Architecture, SparkMl, TensorFlow, Keras, and Scikit-learn. Amit has excellent knowledge of Amazon Web Services (AWS) EC2, VPC, RDS, ELB, IAM, and Route53. He has deployed linear regression, classification models, and is a deep neural enthusiast. Currently working as a Senior Architect at Verse, Amit has previously worked at Societe Generale as an Architect/Manager - Development Chapter, where he was responsible for data engineering, big data, data science, and Rest API. He also worked at Nimbuzz Messenger as a Principal Architect, where he designed and built a platform for a global phone directory from scratch. Amit holds a Master of Computer Applications (M.C.A.) from Dr. A.P.J. Abdul Kalam Technical University and a Bachelor of Science from CCS (Chaudhary Charan Singh) University. Amit's tech stack includes Senior Software Engineer, Big Data, ML, Data Engineering, Spark, SQL, Spring, AWS, Hadoop, Data Scientist, Keras, Neo4j, MemCache, Random Forest, Scikit, CI/CD, Redis, TensorFlow, MySQL, NoSQL, MongoDB, Cassandra, Kafka, Spring Boot, Jenkins, Integration, Web, Software Engineer, Deep Learning, Neural Networks, Microservices, and SRE.