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Dr. Rahul Gaikwad

PhD | PGDFM* | MCA | eMBA | MA | Lead DevOps | Award Winner | Author | Speaker | Mentor | Trainer | Researcher | YouTuber |

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About

Dr. Rahul Gaikwad is a highly experienced Lead DevOps professional with around 12 years of experience in the information technology industry. He has a vast exposure to DevOps, Cloud computing, Big Data and Database Administrations. Rahul has an impressive list of technical certifications including AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate, AWS Certified SysOps Administrator - Associate, AWS Certified Developer - Associate, AWS Certified DevOps Engineer - Professional, and AWS Certified Database - Specialty. He is also certified in various other technologies such as Apache Airflow, ArangoDB, Neo4j, Rancher Operator, Calico Operator, CyberArk, and more. Rahul has won several awards and accolades throughout his career, including three awards at GCCI, AWS in 2021, three patents published in India in 2020, and being recognized globally as a Top 5 winner in ScyllaDB Challenge in 2019. He has also published two research papers in Scopus journal and designed university syllabus for Masters Big Data courses for Shivaji University Kolhapur. Currently, Rahul is working as a Lead Consultant - DevOps at Amazon, where he is mentoring team mates to achieve their desired goals. He is responsible for creating large-scale solutions built on AWS, automating solutions for repeatable problems, and consulting for optimal design of database environments. Rahul is also a speaker, writer, and mentor. He conducts technical sessions for internal teams, partners, and customers. Rahul has a Doctor of Philosophy - PhD in Machine Learning, AIOps from Savitribai Phule Pune University. He also holds an Executive MBA in Project Management from NIBM Institute, an MCA (Engg) in Computer Applications, and a Bachelor of Arts in History from Savitribai Phule Pune University. Additionally, he has a Diploma in Computer Software (DCS) from Aptech Computer Education. Rahul has a diverse TechStack, including AWS, DevOps, Research Scientist, Big Data, Hadoop, Terraform, ML, Spark, MongoDB, Cassandra, Kafka, Elastic Search, Neo4j, AI, Python, Apache Airflow, SQL, HDFS, Neural Networks, NoSQL, and more. Rahul has relevant experience of 5.71 years.

Education Overview

ignou

savitribai phule pune university

nibm institute

shivaji university

aptech computer education

Companies Overview

amazon

savitribai phule pune university

fireeye

opus consulting solutions

ibm

kpit technologies ltd

cdac pace authorised dotcom computer training centre

aptech

Experience Overview

7.7 Years

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Contact Details

Email (Verified)

rahXXXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX95

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Frequently asked questions

What company does Dr. Rahul Gaikwad work for?

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Dr. Rahul Gaikwad works for amazon

What is Dr. Rahul Gaikwad role in their workplace?

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Dr. Rahul Gaikwad's role in their workplace is Lead Consultant - DevOps

What is Dr. Rahul Gaikwad's tenure in their workplace?

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Dr. Rahul Gaikwad's tenure in their workplace is 4.34 years

What is Dr. Rahul Gaikwad's total experience?

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Dr. Rahul Gaikwad's total experience is 7.67 years

What is Dr. Rahul Gaikwad's LinkedIn profile?

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Dr. Rahul Gaikwad's LinkedIn profile can be found here

What is Dr. Rahul Gaikwad's email address?

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Dr. Rahul Gaikwad's email address is rahXXXXXXXXXXXXXXXXXXXXXom. Unlock here

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Dr. Rahul Gaikwad's phone number is +91XXXXXXXX95. Unlock here

What schools did Dr. Rahul Gaikwad attend?

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Dr. Rahul Gaikwad has attended ignou, savitribai phule pune university, nibm institute, shivaji university, savitribai phule pune university, savitribai phule pune university, aptech computer education

What companies has Dr. Rahul Gaikwad worked with?

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Dr. Rahul Gaikwad has worked with amazon, savitribai phule pune university, fireeye, opus consulting solutions, ibm, kpit technologies ltd, cdac pace authorised dotcom computer training centre, aptech

What are some of Dr. Rahul Gaikwad's skills?

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Dr. Rahul Gaikwad has skills in Administrative, Airflow, Algorithms, Amazon Web Services (AWS), analytics, Ansible and more.

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