About

Divakant Pandey is an experienced Staff Software Engineer with over 11 years of expertise in Design, Development, Big data technologies, and Data Pipelines. He has worked on a massive scale of data products using Big data technologies such as Hadoop, Spark, Mapreduce, Hive, and Hbase, amongst others. Divakant has a patent published in the US and India for Clustering and Instrumenting errors, and he has in-depth knowledge of API engineering, Microservices, Spring boots, Rate limit, Load Balancing, SSL, JWT, OAuth, Throttle. Divakant is currently working as a Staff Software Engineer at @WalmartLabs Global Data Platform. His current role involves Machine Learning Architect, AIOps, MLOps, Streaming/Batch Data Analysis, prediction, and forecasting. He has end-to-end knowledge to convert business requirements to working components. Divakant has worked on GCP and AWS clouds, and some of the components include Terraform, Compute engines, Dataproc, GCS, Stackdriver, Dataflow, AWS Beanstalk, AWS RDS, amongst others. Divakant has working knowledge of CI/CD components such as Jenkins, Terraform, Docker, Kubernetes, Ansible, Nexus, and has worked on one-click build and deploy solutions. He has a diverse TechStack, including Software Engineer, Senior Software Engineer, AWS, Spark, ML, Big Data, Terraform, MapReduce, Microservices, Hadoop, GCP, Java, Spring, Ansible, Kubernetes, Computer Vision, Apache Hive, OpenCV, Kafka, Jenkins, CI/CD, Docker, DevOps, AI, Data Engineering, Python, MongoDB, Deep Learning, SDET, test, Neural Networks, Elastic Search, Spring Boot, Integration, P2P, HDFS, Hyperparameter, CNN, Data Warehouse, Scala, product manager, Data Scientist, Research Scientist, Mobile. Divakant has a Bachelor's degree in Computer Science and Engineering from u.p technical university, where he graduated in 2010. He has relevant experience of 2.86 years, and his expertise in Big data technologies, Data Pipelines, API engineering, and Microservices make him a valuable asset to any organization.