Nothing Found
It seems we can’t find what you’re looking for. Perhaps searching can help.
Log In
Sign Up
Author: sumank
I am available for Contract Corp-to-Corp opportunities. I have all required skills: Azure, Databricks, AWS, GCP, Spark, Cloud Data Engineer Architect sumanknitd@gmail.com +1-902-989-3444 I'm based in Ontario Canada, Federally Incorporated, Canadian Citizen with Govt Security Clearance. Experience: - 20 years overall IT Software Development - 15 years Big Data Developer/Engineer - 10+ years AWS, GCP - 5+ years Azure, Databricks - 2+ years Snowflake - 1+ year AI/ML Engineer Skills: - Big Data - Azure - AWS - GCP - Databricks - Snowflake - DevOps - Python - Java - Scala - GenAI Roles: - Data Engineer - Cloud Engineer - AI/ML Engineer - Data Developer Coder - Technical Lead - Solutions Architect Education: • B.Tech. in Information Technology, National Institute of Technology, Durgapur, 2001-2005 • Scholarship holder for being in Top 5, ranked 7th in State for selection into NIT, district topper • AI Applications for Growth Program - Kellogg School of Management at North-Western University Certifications & Training: • Google Cloud Certified - Professional Cloud Architect • Databricks Certified Data Engineer Professional • Microsoft Certified Azure Administrator Associate • Amazon AWS Certified Solutions Architect Associate • Virtusa Certified GenAI Assisted Engineer • TOGAF 9 Certified by The Open Group • Cloudera Certified Developer (CCDH-410) for Apache Hadoop • Cloudera Certified Administrator (CCAH-500) for Apache Hadoop • Oracle Certified Associate Java SE 7 Programmer I (1ZO-803) • Apache Kafka, Apache NiFi, Apache Flink, AWS, GCP Solution Architect – Udemy Attainments: • Awarded “Thomson Reuters - Hall of Fame” for stellar contribution in IP & Science for ALUM visualization. • Taught entire Big Data Hadoop stack to 500+ professionals worldwide via webinar/in-class. • Subject Matter Expert to Jigsaw Academy, developed Big Data Analytics online course content. • Speaker for Hadoop, Hive, NoSQL, HBase and Big Data at Thomson Reuters Tech conferences