Profile Summary

• 5+ years of overall experience working with diverse technology stack related to Data Engineering and Data Science.
• 3+ years of data engineering experience in designing, developing and shipping wide variety of Internet scale services and APIs (50,000 requests/sec, 10s of PBs of data).
• 2+ years of experience developing machine-learning applications using technologies like Scikit-learn, PySpark and Keras.
• 1+ years of data science experience in developing modules on NLP, predictive analytics and recommendation engines.
• Executed infrastructure rebuild of all core components using Mesos, Marathon and Docker.
• Experience working with Columnar and Document oriented NO-SQL databases and in-memory computing frameworks like Apache Spark.
• Strong knowledge on AWS and Azure.
• 3+ years of experience in developing scalable and distributed applications using RESTful webservices, Spring, NoSQL, ElasticSearch and Kibana.

Achievements

• Executed infrastructure rebuild of all core components using CoreOS, Mesos, Docker, Vagrant, Scala, Kafka and Spark while handling high traffic growth across all services.
• Migrated build infrastructure from TeamCity to Jenkins on Mesos.